14 posts tagged with "Search"

TL;DR​

• The FERC EQR & Form 1 MCP server materializes 9.47 million EQR contracts, 763k quarterly transaction price rollups, and Form 1 utility financials from Catalyst Cooperative PUDL — 51 quarters through 2026q1, the bulk filings data.ferc.gov does not expose.
• Ask for hyperscaler power buyers, long-term ENERGY contracts, $/MWh rollups, or utility operating revenue and the agent searches pre-loaded Postgres — no EQR Online export wrestling.
• Pair with the FERC Open Data connector for market-based rate authorizations and entity–PPA links on the live API.

Alex Joyce at Cascadia Partners filed a server request for exactly this: EQR and Form 1 for datacenter power-contract equity research. The open-data API ships MBR and PPAs; EQR and Form 1 live elsewhere. The FERC EQR integration closes that gap.

TL;DR​

• The FERC Open Data MCP server exposes 28 datasets across 6 program assets on data.ferc.gov — including 4,435 market-based rate seller authorization rows and 44,563 entity-to-PPA links in the live catalog.
• Ask for seller authorizations, PPA tables, company registration, or pending NEPA infrastructure projects and the agent discovers the dataset, reads metadata, and samples rows — no clicking through the portal asset tree.
• Built for energy analysts, infrastructure researchers, and regulatory teams who need MBR and PPA context for power-market work — not a substitute for Electric Quarterly Reports or FERC Form 1 financials, which are not on this API yet.

If you work in power markets, you've probably lost twenty minutes in the open-data portal before — someone wants seller-authorization context or a sample of PPAs tied to entities, and you're still clicking assets wondering which table is current. The data is public. The friction is dataset IDs and knowing what the API won't filter for you.

The FERC Open Data integration on MCPBundles is for that catalog-navigation work from chat.

TL;DR​

• The FCC Broadband Map MCP server opens the public data behind the National Broadband Map, which the FCC's May 2025 update counts at 115.8 million serviceable locations — 110 million of them (95%) with terrestrial fixed service of at least 100/20 Mbps.
• Ask for the current snapshot dates, the national provider list, a state's coverage files, or the challenge filings, and the agent navigates the download catalog and returns a direct link to the file you want — no portal file tree to climb.
• It's for the broadband planner, grant writer, or ISP who needs one specific FCC file for a state or a snapshot and needs to cite it correctly — not a point-and-click tour of every CSV the Commission published.

I built this connector after watching the same thing happen twice. Someone needs a single FCC file — say, California's latest fixed-broadband coverage export — and twenty minutes later they're still in the download portal, three snapshot dates deep, not sure which one even has files yet. The data is free and public. The friction is the portal.

So I tried to make the portal disappear. Connect your free FCC Broadband Map login once, and the agent does the clicking: find the live snapshot, narrow the catalog, hand back the file. Below is what I learned getting it to behave.

TL;DR​

• Query 586,479 registered studies on ClinicalTrials.gov live — not from a stale local mirror — through the Clinical Trials MCP server.
• Filter by condition, intervention, phase, recruiting status, sponsor, location, and posted results without building Lucene query strings; study detail returns eligibility, arms, outcomes, and site contacts in structured fields.
• Built for biotech landscape scans, clinical ops comparisons, patient-advocacy briefings, and research tools where the job is turn trial records into an answer, not navigate the registry one click at a time.

If you work in clinical research, biotech strategy, patient advocacy, or healthcare investing, the hard part is not knowing that ClinicalTrials.gov exists. The hard part is turning trial records into an answer you can use.

You may be trying to understand which sponsors are active in a disease area, whether a competitor has moved from phase 2 into phase 3, how strict the eligibility criteria are for a class of studies, or whether there are recruiting trials a patient advocacy team should know about. The raw registry has the data. Your actual job is to read across it quickly and explain what it means.

The Clinical Trials MCP server gives your AI agent a structured way to search studies, pull trial details, and summarize the result in the same conversation where the research question started.

TL;DR​

• 40,726 officer-year pay records from 4,046 public companies (2017–2025), covering 17,240 named executives parsed from DEF 14A proxy statements, live in the SEC Executive Compensation MCP server.
• Search by ticker, CIK, or executive name and get salary, bonus, stock awards, option grants, and total compensation in structured fields — not buried in a 100-page proxy PDF.
• Built for governance research, comp consulting, investing, and journalism where the question is how much did this executive make, and what drove it?

If you work in governance research, compensation consulting, investing, board advisory, or business journalism, executive compensation data is only useful when you can compare it quickly and explain the components clearly.

The pay data lives in SEC proxy filings. Recent filings include inline XBRL tags, but the human-readable compensation tables still vary across companies. Older filings are even messier. The important numbers are inside long DEF 14A documents, footnotes, named executive officer tables, director compensation tables, pay-vs-performance sections, and company-specific formatting.

The SEC Executive Compensation MCP server is built so an agent can answer pay questions from structured SEC compensation data instead of making a user dig through proxy filings by hand.

TL;DR​

• 4,289 active FDIC-insured institutions — $25T+ in combined reported assets as of 12/31/2025, plus 27,832 total historical rows — are queryable through the FDIC Bank Lookup MCP server.
• Search by bank name, city, state, or certificate number and get structured institution and financial fields back inside the agent or API call, not in a separate BankFind tab.
• Built for fintech risk, treasury ops, vendor diligence, and counterparty verification — the moment someone needs to know whether a bank is active, insured, and how large it is.

If you work in fintech risk, bank partnerships, treasury operations, vendor diligence, or financial research, FDIC data usually appears at the moment someone needs confidence about an institution.

Is this bank FDIC-insured? What is its certificate number? Is it active? How large is it? What do its profitability metrics look like? Can I compare it to another institution without leaving the report I am writing?

The FDIC Bank Lookup MCP server gives AI agents and REST clients structured access to FDIC-insured institution data.

TL;DR​

• Vet 2.19 million active motor carriers — 4.4 million total registered across 117 states and territories — through the FMCSA Carrier Safety MCP server.
• Detail lookups enrich census rows with live crash counts, inspection history, and out-of-service rates from FMCSA QCMobile, so a broker or shipper can vet a DOT number inside the same conversation where the load decision is happening.
• Property carriers no longer publish public BASIC percentile scores (FAST Act 2015); passenger carriers still return BASIC data where available.

Every freight broker, shipper, and logistics team needs to answer the same question:

Can we trust this carrier?

The data exists. FMCSA publishes carrier data, safety records, crash counts, inspection history, out-of-service rates, authority status, and related signals. But the workflow is still clunky. People bounce between SAFER, FMCSA tools, carrier-vetting products, spreadsheets, and internal notes.

The FMCSA Carrier Safety MCP server turns that into a tool an AI agent or backend system can call directly.

TL;DR​

• Query 675,090 public LCA filings across five DOL quarters from 72,477 distinct employers — 659,868 certified and 4,313 denied — through the H-1B Visa Data MCP server.
• Median certified annual wage for Year-unit filings: $133,426. Filter by employer, job title, worksite, and filing period to answer the questions compensation and immigration teams actually ask.
• HR teams, immigration counsel, and recruiters use it for wage benchmarking and sponsor research; job seekers tap the same public corpus without hand-building spreadsheet filters.

H-1B wage data matters because it sits at the intersection of compensation, immigration, recruiting, and employer research.

Job seekers want to know which companies sponsor visas and what they pay. Immigration attorneys and HR teams need wage context for LCA work. Compensation teams want market benchmarks. Recruiters and analysts want employer-level sponsorship patterns.

The H-1B Visa Data MCP server turns public LCA disclosure filings into a searchable workflow for AI agents and REST clients.

TL;DR​

• Look up the USITC Harmonized Tariff Schedule live through the HTS Tariff MCP server — 99 chapters, roughly 12,000 classifiable lines — by keyword or HTS code.
• Returns general, special, and column-2 duty rates plus Section 301/232 surcharge cross-references, so import ops can estimate landed duty and sourcing-country differences before broker review.
• Not legal classification advice: a fast, traceable first pass that saves tab-hopping when someone asks what code and what duty apply to this product?

If you are responsible for imports, landed-cost estimates, product classification, or customs review, HTS lookup is not an academic exercise. A wrong code changes margin, delivery timing, and compliance risk.

The first question is usually simple: "What HTS code should we use for this product?" Then the real questions start. Is the description close enough? Is there a more specific subheading? What is the general duty rate? Does a Section 301 surcharge apply? Is the result reliable enough to quote from, or does it need broker review?

The HTS Tariff MCP server is built for that first-pass classification workflow. Your agent can search tariff entries, inspect the hierarchy, pull duty fields, notice surcharge references, and turn the result into a short explanation your team can actually use.

TL;DR​

• 1.33 million Form 990 filings from 689,070 organizations across 61 states — full 990, EZ, and private foundation returns — are searchable through the IRS 990 Nonprofit Financials MCP server.
• Pull revenue, assets, expenses, and officer compensation by organization name or EIN, then summarize the numbers in plain language instead of parsing IRS Statistics of Income extract columns by hand.
• Pairs with Nonprofit Lookup: resolve the EIN first, then pull the financial story from the correct entity.

If you work in grantmaking, nonprofit diligence, donor research, journalism, or civic analysis, IRS 990 filings are where the financial story lives. They show revenue, expenses, assets, liabilities, officer compensation, program service activity, and organizational structure.

They are also painful to work with directly.

The data is split across form variants, annual extract files, hundreds of columns, and identity joins. Organization names are not always where people expect them to be. EINs are the stable key, but users often start with a name.

The IRS 990 Nonprofit Financials MCP server turns those filings into a searchable product for AI agents and REST clients.

TL;DR​

• Search 92,525 Senate LDA disclosures from 5,463 registrants representing 22,259 clients through the Federal Lobbying Filings MCP server.
• Automate LD-2 disclosure lookup by client, registrant, issue code, or bill number — then let an agent summarize patterns across filings instead of opening each record by hand.
• Useful for influence research, compliance monitoring, and newsroom investigations where the question is who is lobbying on what, and through whom?

If you are a journalist, policy analyst, advocacy lead, investor, or researcher, lobbying disclosure is useful because it answers a live question about influence.

Who is lobbying for this company? Which clients does this firm represent? What issues are they lobbying on? Has their focus changed over time? Which trade association keeps appearing around the same bill or agency?

The Federal Lobbying Filings MCP server gives AI agents and REST clients a structured way to search and inspect lobbying records.

TL;DR​

• Search nearly two million IRS Business Master File records through the IRS Tax-Exempt Organization Lookup MCP server — 1,628,047 of them active 501(c)(3) charities — by EIN, name, city, or state.
• Grantmakers, donor ops, and compliance teams use it to answer the question that has to come first: which organization is this? Resolve the EIN and tax-exempt subsection before pulling 990 financials or writing a diligence note.
• Coverage spans 63 states and territories; the dataset was last refreshed 2026-04-21.

If you work in grantmaking, donor operations, nonprofit research, or compliance, nonprofit lookup usually starts with one practical problem: you need to know exactly which organization you are looking at.

Is this organization actually tax-exempt? What is its EIN? Is this the same charity as the one in my CRM, or a different organization with a similar name? Can I connect this record to its IRS 990 filings and see the financial picture?

The IRS Tax-Exempt Organization Lookup MCP server turns that into a tool AI agents can call directly. Search by organization name, lookup by EIN, and return structured nonprofit identity data without sending the user into a separate IRS search flow.

TL;DR​

• Screen against 1.17 million watchlist entries from 22 government sources — OFAC, EU, UK, UN, Canada, Switzerland, Interpol, and others — through the Global Sanctions & Watchlists MCP server, with fuzzy name matching and batch review.
• Covers 1.04 million individuals, 122,000 organizations, and 3,100 vessels; watchlists refreshed 2026-04-20.
• Built for vendor onboarding, payout approval, marketplace trust, and diligence workflows where the question is can this counterparty move forward? — not a full AML case-management platform, but a fast agent-callable screening layer.

If you run vendor onboarding, finance operations, marketplace trust, logistics compliance, or diligence research, sanctions screening is often one step inside a bigger decision. The team is not asking for a database. They are asking whether a counterparty can move forward.

The question sounds simple: "Is this company or person on a sanctions list?" Then reality gets in the way. Which list? Which alias? Is this a close match or just a similar name? Do we need to record the source list, the country, the identifier, and the reason for the match? Is this a vendor review, a customer onboarding step, or a shipping workflow where denied-party screening is only one part of the decision?

That is what the Global Sanctions & Watchlists MCP server is built for. It gives an agent a normalized sanctions search surface so the lookup can happen inside the workflow that needs the answer.

Ever stared at a database and thought "where the hell is that data?" You know it's in there somewhere, but you don't know where. That's what this bundle's for.

The Data Exploration MCP server bundle gives you 10 MCP tools to find stuff fast. Browse tables, search across columns, compare datasets, export results. No SQL knowledge required—just ask what you need and the AI figures it out.