The Model Context Protocol (MCP) went from a niche Anthropic spec to the dominant standard for connecting AI agents to external tools in under six months. As of mid-2026, GitHub hosts thousands of MCP server repositories — and every developer building one is a potential customer for developer tools, AI infrastructure, and anything that makes building agentic applications easier. This post shows you exactly how to find those developers and route them into your pipeline.

Why MCP Developers Are High-Value Leads

MCP developers are a uniquely valuable segment for multiple reasons. First, they are early adopters by definition — they are building on a protocol that is less than 18 months old, which means they have a high tolerance for new tooling and low attachment to legacy stacks. Second, MCP server development typically means integrating a data source or SaaS product into an AI agent workflow, making MCP developers natural prospects for API platforms, data connectors, database tools, and anything that exposes an API. Third, many MCP builders are technical founders or senior engineers with purchasing authority.

Method 1: Search GitHub for MCP Server Repositories

The most direct approach is to search GitHub for repositories that implement the MCP server protocol. The pattern is consistent: MCP servers typically include a package dependency on the MCP SDK and expose tool definitions. Here are the key search queries:

# Find repositories using the official MCP TypeScript SDK
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/repositories?q=@modelcontextprotocol/sdk+in:file&sort=updated"

# Find Python MCP servers
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/repositories?q=mcp-python+in:file+language:python&sort=updated"

# Find repos tagged with the mcp topic
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/repositories?q=topic:mcp-server&sort=updated&per_page=100"

# Find repos mentioning model-context-protocol in README
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/repositories?q=model-context-protocol+in:readme&sort=updated"

Each of these queries returns repos with owner data. From there, you fetch the owner profile to get name, email, company, location, and follower count. GitLeads automates this entire pipeline — you configure a keyword signal for terms like "mcp-server", "modelcontextprotocol", or "@modelcontextprotocol/sdk" and receive enriched lead profiles in your CRM within minutes of a new repo being created or updated.

Method 2: Monitor the MCP Awesome List for New Entries

The awesome-mcp-servers repository on GitHub is a community-curated list of MCP server implementations. New entries are added via pull requests almost daily. Every PR author is a developer who just shipped an MCP server — that is a buying signal. You can monitor this repo directly:

# Get recent pull requests on the awesome-mcp-servers list
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/repos/punkpeye/awesome-mcp-servers/pulls?state=all&sort=created&direction=desc&per_page=50"

# Each PR author is a new MCP developer — fetch their profile
# PR response includes .user.login → GET /users/{login} for enriched data

Method 3: GitHub Issues Mentioning MCP Pain Points

Developers building MCP servers encounter specific friction points: authentication, long-running connections, streaming responses, tool schema validation. Searching GitHub Issues for these terms surfaces developers who are actively struggling — and actively looking for solutions. That is the highest-intent lead category:

# Find issues mentioning MCP authentication problems
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/issues?q=mcp+authentication+is:issue+is:open&sort=created&order=desc"

# Find issues asking about MCP deployment
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/issues?q=mcp+server+deploy+is:issue&sort=created"

# Find discussions about MCP tooling
curl -H "Authorization: Bearer YOUR_TOKEN" \
  "https://api.github.com/search/issues?q=model-context-protocol+tooling+is:issue"

GitLeads keyword signals let you monitor phrases like "mcp server", "model context protocol", or "@modelcontextprotocol" across all GitHub Issues, PRs, and Discussions in real time. Every matching event creates an enriched lead profile pushed to your CRM automatically.

Method 4: Star and Fork Monitoring on Core MCP Repos

The official MCP repos (modelcontextprotocol/sdk, modelcontextprotocol/servers) have hundreds of stars per day. Each new stargazer is a developer who just discovered the protocol and is likely evaluating it. The forks are even more valuable — forking the SDK means active development. GitLeads lets you track any public repository as a signal source: every new star or fork pushes an enriched lead profile to Slack, HubSpot, Pipedrive, or any destination in your stack.

Segmenting MCP Leads by Build Context

Not all MCP developers have the same buyer profile. Segmenting by what they are building multiplies conversion rates. Common segments based on GitHub repo context:

Database MCP servers (PostgreSQL, SQLite, MongoDB adapters) — prospects for database tooling, ORM products, query optimization tools
File system / local data MCP servers — prospects for storage APIs, file management SaaS, document processing tools
SaaS connector MCP servers (Notion, Linear, Jira) — prospects for workflow automation, API management, iPaaS platforms
Code execution / sandbox MCP servers — prospects for cloud IDE, compute APIs, sandbox infrastructure
Search / retrieval MCP servers — prospects for vector databases, search APIs, embedding services

Automating MCP Lead Collection with GitLeads

Manual API calls do not scale. GitLeads replaces this entire workflow: add a keyword signal for "mcp-server" or "modelcontextprotocol", select which GitHub event types to monitor (issues, PRs, code, commit messages), and pick a destination. Every matching event creates a lead with name, GitHub username, email (when public), bio, company, location, followers, top languages, and the exact signal context that triggered the match.

Unlike a one-time export, GitLeads monitors continuously. A developer who stars an MCP repo on Monday and opens an issue about authentication on Wednesday creates two separate leads — both with full context — pushed to your pipeline automatically. Start with 50 free MCP leads per month at gitleads.app.

Related reading: how to find AI agent developer leads on GitHub, GitHub keyword monitoring for sales, GitHub intent data for B2B sales, find LLM engineer leads on GitHub.

How to Find MCP (Model Context Protocol) Developer Leads on GitHub