DevMatch

DevMatch is an MCP server for hiring engineers based on what they've actually built.

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What it can do

  • Find Candidates: Search the DevMatch index for engineers matching a job description. Pass JD text — formal description, informal request, role brief, paste of a README, or anything in between. The lon
  • Get Profile: Fetch one contributor's profile card when the user mentions a specific GitHub handle that was NOT already returned by find_candidates. Use cases: (a) user types 'tell me about @karpathy';
  • Find Similar Projects: Find open-source projects similar to a given GitHub repo, ranked by semantic similarity to its description/topics/README. Each result includes the project's top contributors so

What data it sees

Do you need an account

No: the server works without sign-in

DevMatch is an MCP server for hiring engineers based on what they've actually built. Connect from Cursor, Claude Desktop, or any MCP-compatible AI assistant and search 35M+ developers ranked by verified open-source contributions — not LinkedIn keywords or self-reported skills.

Three tools:

find_candidates — paste a job description, get a ranked shortlist with bio, top repos, contribution evidence, and contact info. Pro tier adds verified email enrichment on the top 5 results. get_profile — deep-dive any GitHub handle. Bio, recent activity, top projects, and outreach channels in one call. find_similar_projects — landscape mapping from a seed repo with top contributors surfaced, so you can pivot from a project to its maintainers in one step.

Built for mission-driven teams that want engineers who care about the work, not just check the keyword box. OAuth sign-in (no API keys to juggle). Free tier with 50 monthly credits, $129/mo Pro for higher quotas plus verified email enrichment.

How to connect

How to connect DevMatch to Claude

The server address to paste into Claude settings:

https://devmatch--zachary-royals.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect DevMatch to ChatGPT

The server address to paste into ChatGPT settings:

https://devmatch--zachary-royals.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect DevMatch to Cursor

The server address to paste into Cursor settings:

https://devmatch--zachary-royals.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (3)

Raw names from tools/list. Only developers need these.

find_candidatesSearch the DevMatch index for engineers matching a job description. Pass JD text — formal description, informal request, role brief, paste of a README, or anything in between. The longer + more specific, the better the match. Returns ranked candidates with FULL profile data inline per result: handle, name, bio, location, followers, top_repos, top_topics, matched_projects (with contribution counts), contact info (email + social URLs when available), and candidate_score. You do NOT need to call get_profile for candidates returned here — their profiles are already embedded in the response. Only call get_profile when the user asks about a handle that was NOT in the find_candidates results. Public github.com repo URLs are also accepted as input (server fetches README + topics + language and uses it as the JD), but ONLY for PUBLIC repos. For private repos, paste the README content directly as the JD string.
get_profileFetch one contributor's profile card when the user mentions a specific GitHub handle that was NOT already returned by find_candidates. Use cases: (a) user types 'tell me about @karpathy'; (b) user references a handle they found elsewhere; (c) user wants to verify someone before outreach. Do NOT call this immediately after find_candidates for handles in those results — find_candidates already returns full profile data inline per candidate (bio, location, contact, top_repos, top_topics). IMPORTANT — interpreting recent_activities: this field reflects indexed GitHub activity in the current ingestion window (2025–2026), up to ~20 events per recent project. It is NOT a complete career history. Older or empty activity does not mean the person is inactive; they may be outside the index window or not yet enriched. Do not infer tenure or 'last active' from activity older than 2025.
find_similar_projectsFind open-source projects similar to a given GitHub repo, ranked by semantic similarity to its description/topics/README. Each result includes the project's top contributors so the caller can pivot from a project to its maintainers in one step. Use for landscape mapping ("what else is like X?"), competitive intel, or to expand a candidate search past a single anchor project.