"A server for finding PDF documents" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Official OmniSocials MCP server — schedule and publish posts, stories, and reels across 11 platforms (Instagram, Facebook, LinkedIn, YouTube, TikTok, X, Pinterest, Bluesky, Threads, Mastodon, Google Business), plus media, analytics, hashtag sets, inbox, and webhooks.
Trade, orderbook, and volatility data for prediction markets and crypto derivatives.
Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.
LinkedIn data for AI agents: structured profiles, people search, companies, and posts over MCP or REST. 500 free credits, no card.
Live data from 27 official national company registries. Unmodified. For KYB and due diligence.
Multi-carrier shipping for AI agents: compare rates, buy labels, track packages, validate addresses
IPStack MCP Adapter turns IPStack's REST APIs into Model Context Protocol tools so any MCP-compatible client can call them directly in conversation. The first release ships IPStack IP geolocation and security lookups (single IP, caller's IP, and bulk). Additional APILayer services are added by registering them in a single config file, so the catalog grows without client-side changes.
Self-hostable team wiki; agents read & write it via MCP; Atlas turns your repo into a cited wiki.
Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI tools and agents - no terminal required. The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents directly to your CI/CD pipelines, giving you a conversational interface to the same pipeline, workflow, job, and artifact data you'd normally reach through the CircleCI CLI or dashboard.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Check shipping costs for all logistics services in Indonesia.
Compliance frameworks delivered to AI agents. Nizh gives your agent read access to your organization's compliance program — SOC 2, ISO 27001, CMMC 2.0, NIST, and more — as MCP tools, so it can check posture, read a control's objectives before changing code, and record where evidence lives.
Real-time US business entity search across all 53 US jurisdictions - all 50 states, DC, Puerto Rico, and US Virgin Islands. Search, verify, and check the status of any LLC, corporation, or registered entity. Ideal for KYB, due diligence, and vendor verification.
AI-powered image processing via GPU. Remove backgrounds and upscale images (2x/4x) directly from any MCP client. OAuth 2.1 authenticated, returns processed images inline with download links. Free credits on signup at maskr.io.
Shared private memory layer for AI agents. Write context once, carry it across Claude, ChatGPT, Grok, Cursor, Replit, Bolt, Lovable, Devin, v0 and more. Supports reusable SKILL.md bundles for agent skills discovery. OAuth 2.1 + API key auth.
Sales intelligence for B2B SMEs — lead scoring, ICP fit, CRM enrichment & writeback.
Connect AI assistants to Paxaver, the School Community Operating System, for authorized access to school lunch menus, student lunch orders, wallet balances, school events, restaurants, and school-community operations.
Wellness Project is a hosted health and fitness MCP server that gives AI assistants secure access to a user's connected health data and fitness history. Connect data from Apple Health, Google Health, Health Connect, Fitbit, Oura, Withings, Hevy, and other supported sources to one Wellness Project account, then use that data directly from Claude, ChatGPT, Gemini, Grok, Mistral, and other MCP-compatible clients. The server currently exposes 73 public tools covering workouts, exercise history, nutrition, macros, hydration, caffeine, sleep, recovery, heart and activity metrics, body measurements, goals, wellbeing, labs, and other health data. Supported tools include both read operations and user-authorized logging or updates, allowing an assistant to do things like: - Review training volume, exercise history, and personal records - Analyze sleep, recovery, heart rate, HRV, activity, and wearable trends - Read nutrition, calorie, macro, hydration, and caffeine history - Log meals, workouts, hydration, caffeine, body measurements, and other supported entries - Track goals and progress over time - Combine data from multiple devices and apps into a single longitudinal health history - Answer questions using the user's actual synced data instead of relying on manually pasted summaries Wellness Project also supports interactive MCP Apps UI widgets for compatible clients, providing richer visual experiences for health and fitness data directly inside the AI conversation. Authentication uses OAuth 2.1 with Dynamic Client Registration. Each connection is scoped to the authenticated user's own Wellness Project account. The hosted MCP endpoint is maintained by Wellness Project, so users do not need to deploy or operate their own server. Wellness Project is designed to make personal health data genuinely useful inside AI. Instead of keeping workouts, sleep, nutrition, recovery, and wearable data trapped across separate apps, it gives an AI assistant a structured, permissioned view of the user's health history and the tools to act on it.
Connect your AI assistant to Signed and ask about your angel investing in plain English: how the portfolio is doing, what distributions came in this year, what’s sitting in the pitch queue. It's a view into the startups that you've invested in (or are thinking of investing in!)
