An MCP server that fetches web pages and converts them to clean, readable Markdown.

Web intelligence for AI agents: fetch, render, extract, research. x402 micropayments, no API keys.

gtinfetch — the GTIN resolver for AI agents. Any barcode, one call. 84M GTINs. x402 at the door.

MCP server that gives AI agents the web: fetch, search, crawl and screenshot from one local Rust binary. Zero API keys, zero accounts, Chrome-true TLS.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

A secure and scalable Git MCP server enabling AI agents to perform comprehensive Git version control operations via STDIO and Streamable HTTP.

HTTP API and MCP server for AKShare: fetch financial data from any programming language or AI assistant (Claude, Cursor)

Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 96.2% fewer tokens per lookup than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client.

Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.

Web search, fetch, extract, and research for AI agents. Markdown output + AI-synthesized answers.

Enables agents to retrieve AI-industry news as structured, deduplicated events classified against a published taxonomy, with sources and correction histories. Supports listing and filtering events, fetching event details, browsing categories and subcategories, and semantic search.

Enables AI agents to search an index of open source repos and tools by what they do, their callable interface (MCP, CLI, SDK, API, etc.) and OG score, plus fetch repo details, category listings, and weekly trending projects.

Enables an AI assistant to search live neighborhood bulletin-board pins by coordinates, radius, bounding box, or category, and to fetch individual pins or share their page links. It also lets the assistant publish public pins such as events, lost pets, sales, and business notices, gated behind explicit user confirmation and optional paid placement plans.

Enables AI agents to answer data-center siting questions by querying a live facility registry, per-metro market intelligence, real-time grid fuel mix and demand, and leasable capacity listings, including a one-call planner that combines these into ranked, cited answers. Results are fetched live per request, keyless, with optional API keys for fuller responses.

md-log MCP: save/update/fetch markdown by path (stdio + remote HTTP, PAT auth).

Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 47 tools.

A design-style library for AI agents: search real styles, fetch a ready-to-apply design spec.

The bitHuman docs over MCP: two read-only tools, search and fetch; it needs no account and no key.

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

Search and fetch vibe-coding Agent Skills (SKILL.md files) and prompts from TheSkillVault library.

Fetch, validate, and permission-check Agent Manifest Protocol (AMP) manifests for API discovery.

Enables AI assistants to read and write a local-first SQLite memory vault from inside a chat — orienting on inherited context, searching and fetching past decisions and notes, wandering linked memories, and recording new ones on demand. All data stays on the user's machine, shared across local and cloud tools via MCP.

Enables an AI assistant to read a project's git diff and generate Angular-style, company-standard commit messages, then stage and commit the changes on the user's behalf. It runs on the host's built-in AI capabilities with no API key or cost, exposing tools for fetching changes, staging all files, and committing.

Enables mining Amazon product reviews for one ASIN per request — fetching paginated reviews, surfacing complaint signals from critical reviews, summarizing sentiment and rating trends over time, ranking complaint themes, and producing a combined per-ASIN report across 14 marketplaces.