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FEDERAL CONTRACTING · FREE · OPEN SOURCE
Free MCP servers connect your AI to federal data. These prompts help you ask useful questions about opportunities, awards, teaming, pricing, and regulations. Install and connect the required MCPs in your AI client before using a prompt.
IN THE CLAUDE DIRECTORYIN THE CHATGPT DIRECTORY
SAM.gov · USAspending · GSA CALC+ · BLS OEWS · GSA Per Diem · eCFR · Acquisition.gov · Federal Register · Regulations.gov
WHY 1102TOOLS
Commercial GovCon platforms add capture and proposal workflows, and most charge for AI or MCP access. 1102tools costs nothing, needs no 1102tools account, and publishes the testing record behind every server.
No subscription, no credits, no 1102tools sign-up. MIT-licensed code you can read, run, and fork.
Up to ten audit rounds per server against the live government APIs. Published testing records document each bug fixed and the tests added.
Four servers in Claude's directory. Three servers in ChatGPT's directory. All nine are planned for both. Directory installs need no 1102tools account and no user API key. Other apps' free tiers and account requirements vary.
All nine servers updated this month, with public changelogs and testing records.
The only known MCP server for Acquisition.gov FAR Overhaul model text and agency class deviations.
WHAT THE TESTING CAUGHT
A SIMPLE WAY TO START
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THE PROMPT LIBRARY
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56 prompts
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Size up [COMPANY] as a competitor: their last 24 months of awards and top agencies from USAspending, then their registration status, socioeconomic categories, and any exclusions from SAM.gov. If SAM returns multiple registrations, say so and list them before picking. Finish with 2 sentences on where they are strong and where they are exposed.
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Find firms with 8(a) set-aside awards under NAICS [NAICS] in USAspending. Check each selected recipient's SBA certification dates in SAM.gov and the end dates of its relevant awards. Flag documented program exit dates within 18 months that overlap with contract end dates within 12 months. Show the dates and source records. Treat missing certification data as unresolved, not proof of graduation; treat an approaching award end as a research lead, not a confirmed recompete.
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Vet [COMPANY] as a teammate: exclusions and registration expiration from SAM.gov, then their award history from USAspending, including whether they have primed work at [AGENCY] before.
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Build an opportunity evidence screen for [NOTICE ID]. Pull the opportunity from SAM.gov, then use USAspending to find comparable work at that agency under the same NAICS, including award sizes, end dates, and evidence of a current incumbent. Keep public facts separate from assumptions. List the internal capability, vehicle, past performance, staffing, pricing, and risk-tolerance facts we still need; do not make the company's bid/no-bid decision from public data alone.
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Find comparable federal contract awards for [REQUIREMENT] under NAICS [NAICS] in USAspending. Distinguish obligations, current award value, and potential ceiling wherever the source provides them; identify the field used for each amount. Show performance dates and scope differences. Compare relevant CALC+ labor-category ceiling rates separately. Do not convert a total award amount into an hourly price without a documented staffing and performance-period basis.
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Search SAM.gov for solicitations and combined synopses under NAICS [NAICS] with a response deadline between today and [N] days out. Give me title, agency, deadline, and set-aside type, and drop anything whose deadline has already passed even if SAM still marks it active. The search filters 1 notice type per call, so expect 2 searches merged, not 1.
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Find sources sought notices under NAICS [NAICS] from the last 60 days, then separately search notice titles for RFI. Identify the returned notice types and flag response deadlines within two weeks. If I supply PSC [PSC], run a separate PSC search, merge the results, and deduplicate by notice ID. Identify limits or missing pages instead of treating a partial search as complete.
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Retrieve opportunity [NOTICE ID] from SAM.gov, including the full description when available. Summarize the requirement, response deadline, evaluation approach if stated, and any explicit incumbent references. Cite the notice and distinguish stated requirements from your interpretation. Identify attachments or amendments the MCP did not retrieve.
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Find contract award notices under NAICS [NAICS] posted to SAM.gov in the last [N] days. Show the winner, reported amount, award date, posting date, notice ID, and source link where available. Keep missing amounts or dates marked as missing. If few results appear, report the search coverage and offer a wider window; do not infer that no awards occurred or assume every award posts immediately.
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Search opportunities under NAICS [NAICS] from the last 90 days with the result limit set high, then filter for [AGENCY] yourself from the agency path field in the results. The agency filter only screens what was fetched, so if the total count is much larger than what came back, page through before concluding anything.
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Search USAspending recipients for [COMPANY] and list every match with its lifetime award total and whether it is the parent rollup or a subsidiary record. The same company appears several times and the totals differ by a lot, so name the record you pick and use it in everything that follows. If the search returns only near-misses, try the other recipient search tool before deciding the company is not in the data.
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Pull [COMPANY]'s federal contract awards with activity in the last 12 months: award ID, agency, amount, NAICS, and period of performance end date. Sort by amount. Add "in NAICS [NAICS] only" if I want one code.
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Retrieve [COMPANY]'s federal contract awards for the last two years from USAspending using the selected recipient record. Summarize obligations by awarding agency, with agency share and the underlying award count. Use compatible source filters and paginate as needed. If only a sample is retrieved, state its size and selection method and label the shares as sample shares, not the company's complete revenue concentration.
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Retrieve [COMPANY]'s ten largest prime awards from USAspending using a confirmed recipient identity. For each, search the reported subawards and list the prime award, subaward recipient, amount, and date. Keep similarly named firms and joint ventures separate unless identifiers establish the relationship. Empty subaward results mean no matching reports were returned; they do not establish that the prime self-performed everything.
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Find [AGENCY]'s contract awards under NAICS [NAICS] above $[FLOOR] with recorded performance end dates in the next nine months. Use USAspending's available filters and paginate through the results; if end dates require local filtering, explain the coverage. Flag implausible dates, possible follow-on awards, and option-period uncertainty. Present the results as potential recompete leads, not confirmed future solicitations.
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List [COMPANY]'s USAspending contract awards with recorded performance end dates between today and [N] months from now. Sort the selected results by end date and report the recipient identity, award ID, agency, amount field, and end date. If the tool cannot filter directly by end date, paginate and filter the retrieved records. State incomplete coverage and distinguish award end dates from confirmed recompete plans.
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Check whether [COMPANY / UEI] has any exclusion records. If records exist, tell me whether any are currently active and what they are for.
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Search SAM.gov for [COMPANY]. List each matching entity's legal name, UEI, CAGE code, address, and registration status before choosing a record. Group related-looking records for review, but do not infer headquarters or corporate ownership from a shared address alone. Identify which UEI best matches the company I mean and explain any unresolved ambiguity.
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Look up [COMPANY] in SAM.gov and tell me: is the registration active, when does it expire, what is its primary NAICS, and what socioeconomic categories does it hold? If more than 1 active registration exists, say how many and name the UEI you picked before answering.
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Retrieve [COMPANY]'s SBA certification fields from its SAM.gov entity record. Report each listed program, status, entry date, and exit date using the source's own labels. Distinguish a documented date from an inferred current status. An empty certification list or a historical set-aside award does not by itself prove present eligibility, graduation, or ineligibility.
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For [UEI], retrieve the current SAM.gov registration status and exclusions, then request the separately available entity integrity information. Report the source, retrieval date, entity match, and any access restrictions or missing records. Present the evidence and unresolved gaps without making a responsibility determination.
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Research [COMPANY]'s historical contract awards in SAM.gov for [START FY] through [END FY], in manageable fiscal-year ranges supported by the server. Use a confirmed entity identifier where the tool permits it. Show the earliest returned award, counts by period, and query coverage. Separate unsupported date ranges, empty responses, and sparse reporting; do not treat the earliest returned record as the company's first-ever federal award.
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Build a teaming shortlist from active SAM.gov registrants in [STATE] with NAICS [NAICS] anywhere on their records and [SOCIOECONOMIC STATUS]. Use the server's appropriate business-type or SBA-certification filter. Report the total count and returned page size, paginate within the agreed scope, and deduplicate by UEI. Show each firm's name, UEI, relevant NAICS, registration expiration, and returned certification status and dates. Flag missing evidence and explain search coverage.
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Show [AGENCY]'s USAspending contract obligations under NAICS [NAICS] for the most recently completed fiscal year. State the exact fiscal-year dates, show the available sub-agency breakdown, and list the top ten recipients. Distinguish a single returned category from complete organizational detail and identify any source or filter limitations.
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Show federal contract obligations under NAICS [NAICS] by place-of-performance state for the most recently completed fiscal year. State the exact period and geography basis, sort the states by amount, and separate unknown locations. Do not describe recipient headquarters spending as the location where work is performed.
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Estimate the share of [AGENCY]'s contract obligations under NAICS [NAICS] associated with small-business set-aside codes over the last two years. Use matching periods and award filters for numerator and denominator, list the codes included, and show the calculation. Keep unknown classifications separate where the source allows. Explain that set-aside coding is not the same measure as all awards to small businesses.
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Show [AGENCY]'s USAspending contract obligations under NAICS [NAICS] for the last five completed fiscal years. Give the exact fiscal years, amounts, year-over-year changes, and a short explanation of the trend. Keep any current partial fiscal year separate. Treat past obligations as market context rather than a forecast of future opportunities.
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Identify large IDVs under NAICS [NAICS] in USAspending, stating the amount field and period used for ranking. For the vehicle I select, retrieve its detail and linked child awards. Use additional searches only when their relationship to the vehicle can be supported. Report missing links or incomplete coverage; do not conclude that an active vehicle has no orders solely from an empty response.
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What NAICS code covers [PLAIN-ENGLISH BUSINESS ACTIVITY]? Give me the code and the closest alternates so I do not file under the wrong one.
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Use the eCFR MCP to retrieve the currently available size-standard table in 13 CFR 121.201 for NAICS [CODE]. Return the matching industry, dollar or employee threshold, and relevant exceptions or footnotes, with the source date and citation. If the table, row, or notes cannot be retrieved completely, state that limitation and do not supply a threshold from memory.
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What PSC codes cover [PLAIN-ENGLISH SERVICE]? Give me the codes and official names so I can search with them.
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Use the available PSC reference tools to retrieve PSC [CODE], its official description, and related categories. Report active or retired status only if the returned reference explicitly provides it. If status or a detailed definition is unavailable, identify that gap instead of inferring it from a missing search result.
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Find the PSC code for [PLAIN-ENGLISH SERVICE], then search SAM.gov opportunities under that exact code with a response deadline still open. Codes first, opportunities second, one chain.
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I do not know GSA's exact labor category title for [ROLE]. Show me the closest matching titles with how many rate records each carries, so I search the right string.
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Show CALC+ ceiling-rate distributions for labor-category titles matching [LABOR CATEGORY]. Identify the exact titles, filters, record count, and available percentile or summary statistics. Compare relevant education and experience groups using supported filters. Explain whether results combine multiple titles, and do not present calculated precision beyond what the source supports.
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Pull [COMPANY]'s GSA rate card and every row whose labor category contains [KEYWORD]. Ask for the total category count and page through until you have every row; the card reports which rows came back and whether more remain. There is no server-side vendor-plus-keyword search, so the keyword screen happens on the rows you fetched.
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Position $[RATE]/hr for [LABOR CATEGORY] against relevant awarded CALC+ ceiling-rate distributions. Show the comparison set, percentile band, geography, education and experience differences, and data limitations. Do not call the rate defensible, reasonable, fair, or acceptable; leave that determination to the authorized official.
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Use BLS OEWS to find median and 75th-percentile annual wages for [OCCUPATION] in [METRO AREA]. Confirm the available data year, SOC code, and geographic match first. Report missing, suppressed, or unavailable figures explicitly, along with the source period; do not silently substitute a different year or location.
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Compare wages for [OCCUPATION] across [METRO 1] and [METRO 2], then pull the national median separately as the baseline. I am deciding where a position can realistically be staffed.
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Give me the raw BLS wage for [OCCUPATION] in [METRO], median and 10th and 90th percentile, current data year, with no loaded-rate estimate attached. The burden math is mine.
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Compare the BLS OEWS wage for [OCCUPATION] in [METRO] with CALC+ ceiling rates for a closely matched labor category. Keep raw wages and fully burdened ceiling rates distinct. If showing a burdened-wage scenario, use [BURDEN MULTIPLIER] or ask me to supply it, and show the formula. Explain occupation, experience, geography, and pricing-basis differences.
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Compare median wages for [OCCUPATION 1], [OCCUPATION 2], and [OCCUPATION 3] side by side in [METRO]. I am pricing a mixed labor category task order and want the whole staffing picture in one table, not separate lookups.
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Retrieve GSA lodging and M&IE rates for [CITY, STATE] in [FISCAL YEAR]. Show seasonal lodging changes, the matched locality, and the rate period. Identify an unmatched or fallback locality clearly before using the rates in an estimate.
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Estimate per-traveler lodging and M&IE for [N] nights in [CITY, STATE] during [MONTH, YEAR]. Use the matching fiscal-year rates, identify the locality, show the daily components, and apply the tool's first/last-day M&IE treatment explicitly. State the assumed travel days and exclude airfare and other expenses unless separately supplied. Ask for a date if it is missing instead of silently pricing another season.
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Look up GSA per diem for ZIP [ZIP] in [FISCAL YEAR]. Report the locality actually returned, lodging seasonality, and M&IE. If the ZIP lookup also falls back or fails to match, keep that uncertainty visible rather than treating the location as confirmed.
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Retrieve FAR [CITATION] using the eCFR MCP's latest available Title 48 date. Quote the relevant text and provide the citation and source date. Inspect its version history and compare relevant revisions before calling a change substantive; distinguish publication, amendment, effective, and retrieval dates when the source supplies them.
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Find sections in FAR Part [PART] with eCFR version changes in the last year, then compare before and after section by section for the changes relevant to [TOPIC]. State the dates used and distinguish substantive wording changes from editorial or structural changes. Identify incomplete comparisons rather than claiming the entire part was reviewed.
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Find the FAR definition of [TERM] using the eCFR MCP. Retrieve the relevant section or complete matching definition, including numbered subparagraphs and exceptions. Give the citation and source date. If a large section such as FAR 2.101 is truncated, identify the missing portion and do not present a partial definition as complete.
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Search Federal Register documents on [TOPIC] from the last 6 months across all document types, ordered by relevance; the live items are often notices and RFIs, not just proposed rules. For anything with an open comment period, give me the deadline.
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Count Federal Register documents on [TOPIC] by agency for the last twelve months using the available facet tools. State the date range, search terms, document types, and returned counts. Use the result to choose which agencies to examine next; a count alone does not indicate the significance of a policy change.
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Trace FAR Case [NUMBER] through Federal Register documents in date order. Separate documents directly addressing the case from Unified Agenda entries or other notices that merely mention it. Show proposed, final, withdrawn, and effective-date information only where supported, with source links and any gaps in the retrieved history.
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What is open for comment right now on [TOPIC]? Use the Federal Register's open comment periods with a term filter for this one; the Regulations.gov version filters by agency only. Give me the docket ID, or the document number when a notice carries no docket, and the closing date.
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Find FAR and DFARS proposed rules with open comment periods using the Regulations.gov MCP's available agency and document filters. Check the relevant FAR and DARS agency codes, then distinguish actual proposed rule changes from routine information-collection notices. Return the docket or document ID, title, closing date, source link, and any filter or coverage limitations.
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For docket [DOCKET ID], search Regulations.gov comments for organizational submitters, including terms such as association, chamber, coalition, or institute. Retrieve details and attachment references for the relevant matches. Summarize each identified organization's position with citations, distinguish names from verified affiliations, and explain the selection method. Do not treat this keyword sample as all comments or a measure of consensus.
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Use the Acquisition.gov MCP to retrieve the FAR Overhaul model text for FAR Part [PART] and find posted deviations for [AGENCY] and that part. Retrieve the relevant indexed deviation documents. Report source links, retrieval dates, and any stated effective dates or applicability language, with PDF page references. Keep the model text separate from the agency's documented action, and clearly identify missing or conflicting evidence. Do not decide which rule governs my procurement.
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Compare the current codified text for FAR [CITATION] using eCFR with the relevant FAR Overhaul model part and [AGENCY]'s posted deviation using Acquisition.gov. Show the three sources separately, cite exact sections or PDF pages, and explain the differences. Include retrieval dates and document-stated dates. Do not treat model text as agency adoption or infer applicability from a filename.
MADE FOR READING AND SHARING
The full library in a clean, white-and-green PDF. 56 prompts for nine MCP sources, organized by the work you want to do.
Download the PDFSeptember 2026 · PDF · 15 pages
CONNECT YOUR SOURCES
Install published MCPs in one click from the Claude and ChatGPT directories, or follow each server's README for other compatible MCP clients. Every card shows the tools and tests behind the server.
Opportunities, entity registrations, exclusions, and contract-award records.
20 tools against the live SAM.gov APIs. Adds reps and certs, integrity records, live registration status, contract award records, the federal hierarchy, and subawards.
Awards, obligations, recipients, agencies, and reported subawards.
Awarded labor-category ceiling rates and comparison data.
Occupational wages by geography and data year.
Lodging and meals-and-incidental-expense rates by locality.
Codified regulatory text, dates, and version comparisons.
FAR Overhaul model text, posted agency deviations, and guidance.
Published rules, notices, comment periods, and FAR cases.
Rulemaking dockets, documents, and public comments.
Use a compatible MCP client and confirm the server's tools are available before running a prompt. Some sources require a free API key. Current setup and testing details live with each server.