Mockloop MCP: Intelligent Model Context Protocol Server

AI-native task manager with native MCP server. Let Claude or any MCP client read, create, update, complete, and reschedule your tasks directly — no copy-pasting. Includes semantic search, daily planning, habit tracking, and weekly reviews. Free tier available.

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.

AI Governance Infrastructure for Microsoft 365. 24 MCP tools with policy enforcement, Need-to-Know compliance filter, revision-safe audit trail, and per-resource scope control. Deployed in your own Azure tenant — your data never leaves. DSGVO-first, EU AI Act ready.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

EQVPS is crypto-native, no-KYC VPS hosting that an AI agent can rent and operate end-to-end over MCP — no human in the loop. The agent registers, gets a Bearer token, picks a plan, pays in USDC/USDT on Base/Ethereum or USDT on Tron from a prepaid balance, and the VPS provisions in ~60s. 16 tools cover the full lifecycle: discover plans, register/login, balance + top-up, order, pay invoice, list/inspect servers, power, set hostname, reset password, reinstall OS, metrics, cancel. The only VPS provider with MCP provisioning — an agent orders AND pays for its own server, no KYC, no human.

AI image generation using various models

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

Browser automation and web scraping

summarize chat message

Synx is an AI first board for projects and tasks. It enhances your agentic workflow by helping the AI (and the human) manage the development process from start to finish.

Real-time Solana token cabal detection API. Traces top holder funding sources via Helius RPC to detect coordinated wallets, insider snipers and bubble-map clusters. Returns a 0–100 cabal confidence score. $0.05 USDC per query on Solana mainnet.

The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account.

clariBI is an AI-powered business intelligence platform built for small and mid-sized SaaS, ecommerce, and operations teams. Instead of writing SQL or building dashboards manually, users ask questions in plain English ("what's our CAC by channel last quarter?") and the AI engine pulls the data from Stripe, HubSpot, Google Analytics, ad platforms, Jira, and 30+ other sources via the open Model Context Protocol. Dashboards generate themselves on source connect.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

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

Channel management and messaging capabilities

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).

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

One API for Search, Crawling, and Sitemaps

143 local tools for Claude, Cursor & ChatGPT — Mail, iMessage, Microsoft Teams, Slack, WhatsApp, Calendar, OneDrive, Outlook, OmniFocus, Notes, Finder and Office docs. 100% local, no API keys. Reaches what cloud connectors can't. Mac + Windows.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

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.

# 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)

RollingGo-Flight-MCP is a native MCP plugin for global air ticketing services. Powered by the world’s 3rd largest travel B2B firm. Totally free with no call quota limits. Fully compatible with AI Agents including Claude, Cursor, Codex and mainstream MCP clients. It aggregates 500 airlines, covering flight routes across 200 countries and regions.

Onchain AI-agent reputation oracle on Base. Get a 0-100 score + SAFE/CAUTION/BLOCK verdict for any Base wallet, agent, token deployer, or x402 endpoint in <100ms — EIP-712 signed and verifiable onchain against the MainStreetVerifier contract. ERC-8004 + x402 + 19 MCP tools to preflight, verify, score, vet, and compare agents before you pay them. Free reads (100/day/IP); pay-per-call audits over x402 (USDC on Base).