二次元 Api Search

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

高德地图官方 MCP Server

Browser automation and web scraping

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

GitLab API, enabling project management

MCP server for interacting with Neon Management API and databases

MCP server to provide Figma layout information to AI coding agents like Cursor

Huckleberry MCP server for Claude, Cursor, and other AI assistants. Query and log baby sleep, feeds, diapers, growth, pumping, and solids.

Bitly is the world's most trusted link management platform - and now your AI assistant can tap directly into everything it tracks. With the Bitly MCP Server, you can pull real-time engagement data on any link, QR code, or page: click volume, top locations, referral sources, device breakdowns, and performance over time. Ask your AI to surface your top-performing links this week, flag anything with unusual click patterns, or compare campaign performance across channels - all in natural conversation. Once you have the data, creation is just as seamless. Generate branded short links with custom domains and UTM parameters, produce print-ready QR codes with your brand colors and logo - all without leaving your workflow. 27 tools. Full Bitly platform access. Works with Claude, ChatGPT, Cursor, VS Code, and Windsurf.

AI image generation using various models

Create, manage, and clean up Flagsmith feature flags directly from your AI tool. Flagsmith is an open source feature flag and remote config platform you can self-host or run in the cloud, and the MCP server lets you control flags, environments, and segments through natural language in any MCP-compatible editor.

Turn a written schedule into a live calendar link people subscribe to in Apple, Google, Outlook. Calfeed's create_calendar tool takes plain text (shifts, practices, classes, a season, an itinerary) and publishes a hosted calendar that updates for every subscriber. Mint an access token at calfeed.ai/profile.

MCP server for StillOnline — uptime monitoring and status pages from Cursor, Claude Code, and other MCP clients. Wraps REST API v1: projects, HTTP/SSL checks, incidents. Requires Pro/Ultimate API key.

Minimal project management for teams and AI agents. Manage tasks, projects, and workspaces from Claude, Cursor, Windsurf, and any MCP-compatible AI assistant.

Recruiting-ops MCP for asking TalentLyft questions and finding bottleneck owners inside Claude, Cursor, or another AI workspace.

Turn any published podcast into clean Markdown with real speaker names — not "Speaker 1." Three tools: search_podcasts (by text query or a pasted Spotify/YouTube URL), get_transcript (named, timestamped Markdown ready for LLMs and RAG), and get_balance. It's a transcript-retrieval API, not speech-to-text: it works on already-published shows, so you skip uploading audio and diarization — typically 5–10× cheaper. Try it free with the demo key pt_demo (no signup).

A Model Context Protocol server bridging LLM agents to the Prolific public API. Built with FastMCP. Listed on the official MCP Registry — discoverable from Claude Desktop, Cursor, Claude Code, and other MCP-aware clients. Exposes a small set of tools so an LLM can help a researcher design and launch a study on Prolific.

Commerce infrastructure for AI agents — 43 MCP tools to search, compare, and purchase across 36 verified retailers in 8 countries. 45,000+ real shelf prices refreshed every 4h. MIT.

Recruiting-ops MCP for asking Recruitee questions and finding bottleneck owners inside Claude, Cursor, or another AI workspace.

MCP server for the Savvly Longevity Benefit Fund: product info, Savvly-vs-alternative comparisons, eligibility checks, an audience-tagged Q&A library, and retirement / lump-sum / monthly projections (with inline MCP Apps chart widgets).

Retrieving and analyzing issues from Sentry.io

Secure file operations with configurable access controls

Web content fetching and conversion for efficient LLM usage

# govql-mcp-server An MCP (Model Context Protocol) server for [GovQL](https://govql.us) — gives AI clients like Claude Desktop, Claude Code, and Cursor direct access to the US Congressional GraphQL API at [api.govql.us/graphql](https://api.govql.us/graphql) without bespoke HTTP wiring. For the design rationale (why FastMCP-Python, the passthrough+curated philosophy, roadmap through v0.4), see [design.md](https://github.com/govql/govql/blob/main/mcp-server/docs/design.md). ## What you can do with it Ask an agent questions like: - *"How did Vermont's two senators vote on the most recent nomination?"* - *"Which legislators in the 118th Congress switched parties during their service?"* - *"Compare Senator Sanders' voting record to Senator Murkowski's on cloture votes in the most recent Congress."* The agent picks the right tool, writes the GraphQL query against the live schema, and parses the response — no manual API wrangling. ## Install The server runs as a per-client subprocess over stdio. Pick your client: ### Claude Desktop Edit `claude_desktop_config.json` (Settings → Developer → Edit Config): ```json { "mcpServers": { "govql": { "command": "uvx", "args": ["govql-mcp-server"] } } } ``` Restart Claude Desktop. The `govql` tools appear in the tools panel. ### Claude Code Add to `.mcp.json` in your project (or `~/.mcp.json` for global): ```json { "mcpServers": { "govql": { "command": "uvx", "args": ["govql-mcp-server"] } } } ``` ### Cursor Settings → MCP → Add Server. Use the same `command` / `args` as above. ### Other clients Any MCP-compatible client that supports stdio servers will work. The command is `uvx govql-mcp-server` with no required arguments. ## Tools | Tool | Purpose | |---|---| | `execute_graphql` | Run any GraphQL query against the GovQL endpoint. Returns the result plus an `last_ingest` timestamp so the agent can reason about data freshness. | | `list_types` | Returns the names and kinds of every type in the GovQL schema. Optional `kind` filter (`"OBJECT"`, `"INPUT_OBJECT"`, `"ENUM"`, etc.) to narrow further. Start here when you don't know what's queryable. | | `describe_type` | Returns one type's full details — fields, arg signatures, input fields, enum values. Call after `list_types` to learn the shape of a specific type before writing a query. | ## Configuration All env vars are optional — the package is zero-config for end users. | Env var | Default | Purpose | |---|---|---| | `GOVQL_ENDPOINT` | `https://api.govql.us/graphql` | Endpoint to query. Override to point at a local dev stack. | | `GOVQL_TIMEOUT_MS` | `30000` | Per-request HTTP timeout. | | `LOG_LEVEL` | `INFO` | Logging level. Logs go to stderr only (stdout is reserved for the MCP transport). | ## Limits (enforced by the upstream API) - Max query depth: 10 - Max query complexity: ~10 billion points (`first: N` multiplies child cost by N — keep page sizes reasonable on deeply nested queries) - Rate limit: 100 requests / 60 s per source IP A depth or complexity violation surfaces as a GraphQL `errors` entry in the tool response so the agent can adjust and retry. ## Data freshness Every `execute_graphql` response includes a `last_ingest` ISO timestamp. Vote data refreshes hourly; legislator data refreshes daily. ## Status Version 0.1.0 ships three foundational tools: a GraphQL passthrough (`execute_graphql`) and two narrow schema-discovery tools (`list_types`, `describe_type`). Curated higher-level tools (`find_legislator`, `get_voting_record`, `compare_voters`, etc.) are planned for subsequent releases — see [design.md](https://github.com/govql/govql/blob/main/mcp-server/docs/design.md) for the roadmap. ## Links - [GovQL project site](https://govql.us) - [GraphQL API](https://api.govql.us/graphql) - [Source / issues](https://github.com/govql/govql)