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MCP.so is a third-party MCP Marketplace with 21865 MCP Servers collected.

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Bitly MCP

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.

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Savvly MCP Server

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).

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Fresh Jots Mcp Server

MCP server for freshjots.com

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Kairos Signal — 63-Layer Symplectic Neural ODE

63-layer continuous-time Symplectic Neural ODE computing topological invariants of real market signals. 256-dim feature space with non-Abelian gauge field geometry. 27 data products (property intelligence, DAG manifold computation, federal contracts, distressed real estate) with autonomous Stripe purchase. 500K out-of-pocket validated embeddings. Free tier available.

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Graphpilot

GraphPilot gives coding agents persistent structural knowledge of a codebase. It parses TypeScript/JavaScript with tree-sitter into a graph of symbols and call edges, then exposes that graph over MCP so the agent can recall definitions, find callers, and trace change impact without re-reading files every conversation. Local-first: no network, no telemetry, no code ever leaves your machine. Four tools — gp_index, gp_recall, gp_callers, gp_impact.

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FAQ

Frequently Asked Questions about MCP Server

1

What is MCP (Model Context Protocol)?

MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

2

What is MCP Server?

MCP Server is a system that provides context, tools, and prompts to AI clients. It can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

3

How do MCP Server work?

MCP Server work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.

4

What can MCP Server provide?

MCP Server can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.

5

How does Claude use MCP?

Claude can connect to MCP server to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

6

Is MCP Server secure?

Yes, security is built into the MCP protocol. Server controls its own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

7

What is mcp.so?

mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.

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How can I submit my MCP Server to mcp.so?

You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.

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