"A TypeScript library for accessing SEC company filings" matching MCP servers:

Enables agents to retrieve SEC EDGAR 10-K, 10-Q, and 8-K filings with pay-per-call USDC micropayments on Base via x402, requiring no API key or signup.

SEC EDGAR filing MCP for equity research agents: search 10-K/10-Q/8-K with CompanyFacts metrics, preview a free sample, and purchase full structured JSON via x402 USDC on Polygon. Public endpoint on xpay.tools.

Query SEC EDGAR for company filings, financial data, and executive disclosures. Search by company name or ticker, retrieve 10-K/10-Q/8-K filings, and extract structured financials — backed by the official SEC EDGAR API, built for AI agents.

Enables AI agents to research US public company filings, financials, and insider transactions using SEC EDGAR data, with no API keys required. Provides tools for company lookup, recent filings, full-text search, financial facts, and insider activity.

An MCP server for SEC EDGAR written in Rust: company filings, full-text search, XBRL financials, insider transactions and company info. A single native binary; no API key.

Enables AI agents to calculate corporate tax payments, check compliance deadlines, and generate pre-filled Gibraltar company forms (annual return, office change, incorporation pack) without API keys or rate limits.

Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.

MCP server for accessing SEC EDGAR filings. Connects AI assistants to company filings, financial statements, and insider trading data with exact numeric precision.

It enables AI assistants (Claude, Cursor, etc.) to access SEC EDGAR data through 6 structured tools — from discovering available filings to keyword-searching within their pages.

MCP server for querying the SEC Ownership Graph, providing curated read-only tools to analyze activist campaigns, control chains, and board interlocks from SEC filings. Answers cite accession numbers and abstain when data is insufficient.

Provides typed, read-only tools over SEC EDGAR for company lookup, filing lists, annual XBRL financial facts, and 10-K/10-Q item sections. Every result carries a source URL so answers can be grounded in and cite the underlying filings.

Answers questions about public tech companies’ AI-infrastructure spending using real SEC EDGAR filings, returning traceable values with sources and derivations. It also detects filing inconsistencies and can draft or file data-quality GitHub issues with supporting evidence.

MCP server for SEC EDGAR filing intelligence, providing tools for fetching, chunking/embedding, retrieval, and evaluation of filings.

Provides access to SEC filings and detailed XBRL financial data for all publicly traded U.S. companies. It enables users to search for company info, retrieve historical metrics like revenue and assets, and compare financial performance across different industries.

Enables triage of SAST findings by exposing a read-only MCP server with tools to access hash-verified source-to-sink code slices, unguarded sinks, and layered enrichment for local LLM analysis.

Provides 22 read-only tools that let AI assistants pull and read SEC EDGAR data straight from official sec.gov APIs: 10-K, 10-Q, 8-K, 20-F and proxy filings, paged or phrase-searched filing text, XBRL facts and cross-company rankings, insider trades, 13D/13G ownership and 13F portfolios. Also enables full-text search across every EDGAR filing since 2001, so users can answer company financial questions in natural language without an API key.

Enables coding agents to establish exact-release library identity, search provenance-tracked API, docs, example, source, and release evidence, compare releases, and test proposed invocations in isolated capsules for Rust and Python dependency environments.

Enables evidence-first company due diligence by resolving company identities, collecting verifiable facts with source URLs, timestamps, and payload hashes, flagging unverifiable dimensions, and generating auditable risk reports through MCP tools.

Live open jobs from companies' own Greenhouse, Lever and Ashby boards via their official public APIs, with publish-verified dates, age, long-open and repost signals, filters and change tracking.

Enables users and AI agents to resolve tickers, CIKs, or company names to official SEC entity data and retrieve recent EDGAR filings, XBRL financial facts, and optional filing-text excerpts. It delivers structured, source-linked rows for research and tooling, with schema-versioned output and machine-readable error codes.

Enables building targeted company lists from live job boards or SEC filings via the Apify actor, supporting role keywords, locations, and filing phrases.

MCP server providing SEC EDGAR signal intelligence — insider trading (Form 4), 13F holdings, filing velocity, activist risk flags, and multi-company comparisons. Already on the official MCP Registry, awesome-mcp-servers (PR #5664 pending), and Apify Store with three-tier pay-per-event pricing. MIT license, TypeScript, comprehensive README.

Enables AI clients to retrieve SEC company profiles, filing listings, and structured XBRL financial statements via MCP tools.

Enables a persistent local library for mathematical PDFs with cached LaTeX extraction, full-text search in English and Greek, and page/image retrieval over MCP.

A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.

This MCP server enables AI agents to search and retrieve exact, cited passages from a large corpus of public-domain books, including full-text search, book metadata, chapters, quotes, and 'ask book' Q&A. Payments are handled via x402 micropayments on Base.

模糊匹配两份表格中的公司名称和日期，输出已匹配、待复核和未匹配三种结果，便于数据对账。

Enables LLM clients to investigate Brazilian companies by CNPJ or name, mapping corporate relationships and gathering structured, source-attributed public evidence from official registries, news, social profiles, judicial proceedings, and PEP checks.

Enables AI agents to query the free official UK Companies House registry through four tools: searching companies by name, retrieving merged profiles with status, registered office, SIC codes, and current officers, pulling filing history, and decoding any UK SIC code to plain English offline. It runs on a free API key (and still starts without one), caching responses to keep repeat lookups cheap for prospect research, KYB, and due-diligence workflows.

A free MCP server for stock research combining Finviz screening and SEC EDGAR filings, offering 24 tools for fundamental analysis, insider trades, and financial data without paid subscriptions.

MCP server giving AI models direct access to 30M+ resources at ETH Library Zurich – books, maps, images, archival material, and linked-data person records.

A TypeScript/JavaScript refactoring MCP server that uses the TypeScript compiler to perform safe, type-aware code transformations such as renaming, extracting functions, and organizing imports across your codebase.

Turns any company domain into a live, normalized enrichment record covering firmographics, MX-graded business contacts, a tech-stack fingerprint, social links, and a hiring signal derived from eight applicant-tracking platforms. All data is read from public keyless sources at call time, so agents can screen prospects and compare hiring intensity without paid databases or API accounts.

Enables Claude clients to access notes, guidance, projects, and search from a knowledge library, with explicit-save write tools for creating, updating, and appending content only when the user approves.

A TypeScript boilerplate for building MCP servers using the official SDK, with a layered architecture for easy adaptation to different APIs.

Enables Claude clients to access a private local book library, allowing users to list books, search content, and retrieve metadata, chapter summaries, action items, personal notes, and infographic text through MCP tools.

A local stdio MCP server that enables AI tools to search a self-hosted Calibre library over SSH, supporting metadata queries, full-text search, and book details.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables agents to search and look up companies in a local mirror of India's MCA master data, decode CINs offline, and validate GSTIN structure and checksums. Every field carries provenance and explicitly flags missing or stale data instead of fabricating it.

An MCP server that enables AI assistants to execute NetExec network penetration testing commands via SSH to a Kali Linux machine, supporting protocols like SMB, WinRM, SSH, LDAP, and more.