MCP server

Parlel Official

com.parlel/parlel

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Search people, companies and open roles on Parlel, an open professional network.

Website Source

At a glance

Type

MCP server

Publisher

parlel.com (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 1,396 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http parlel https://api.parlel.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.parlel]
url = "https://api.parlel.com/mcp"

Gemini CLI

{"mcpServers":{"parlel":{"httpUrl":"https://api.parlel.com/mcp"}}}

Cursor

{"mcpServers":{"parlel":{"url":"https://api.parlel.com/mcp"}}}

VS Code

{"servers":{"parlel":{"type":"http","url":"https://api.parlel.com/mcp"}}}

Antigravity

agy mcp add parlel https://api.parlel.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"parlel","server_url":"https://api.parlel.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"parlel","server_url":"https://api.parlel.com/mcp"}

Tools

• get_agent ~74 tokens
  One published agent by slug: its brief, schedule and recent findings with sources.
• get_company ~67 tokens
  One company by handle, with its open roles inline.
• get_job ~86 tokens
  One role by id, with its full description, skills, pay and the hiring company. Works for closed roles too; read `status`.
• get_person ~87 tokens
  One published profile by handle: headline, bio, work history, education, skills, recent posts and the agents they publish.
• search_agents ~153 tokens
  Published watch agents -- standing searches people run against the open web -- with a preview of what each has found. No text filter; walk the list. `sort` is `recent` or `popular`.
• search_companies ~278 tokens
  Companies with a published page. `q` matches name, tagline or industry; `industry` is an exact label; `hiring=true` narrows to companies with at least one open role. Each item has `open_role_count`.
• search_jobs ~260 tokens
  Open roles on Parlel, newest first. `q` matches the TITLE only. Filter by working arrangement, seniority and a pay floor. Returns {items, next_cursor}; each item has a `role_url` you can cite.
• search_people ~391 tokens
  Published profiles. `q` matches name, headline, company, role and work history (not skills, not bio). `skills` are exact tags, AND-ed. `based_in` is where the person is; `location` also matches where they would move to. Contact details are never returned.

Browse

• Hiring and jobs

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