LinkedIn Outreach MCP

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-linkedin-outreach-mcp

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

1 read · 2 write · 0 delete · 3 not yet classified

Secrets

None asked for

Install scripts

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Runs as

Python package

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• analyze_profile

  Analyze a LinkedIn profile description to extract actionable outreach insights. Extracts: industry, seniority level, likely pain points, conversation starters, and mutual interest areas. Use this before crafting your outreach. Args: profile_text: The person's LinkedIn headline, summary, or About section text Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authenticat…

• generate_comment

  Generate an insightful comment for a LinkedIn post. Analyzes the post type (question, achievement, opinion, advice, story) and generates comments that add genuine value -- not generic "Great post!" fluff. Args: post_content: The text content of the LinkedIn post you want to comment on Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need str…

• generate_connection_request

  Generate a personalized LinkedIn connection request (max 300 characters). Returns 3 variants to choose from. Edit and personalize before sending. Args: name: Target person's full name title: Their job title (e.g. "VP of Engineering") company: Their company name shared_interests: Comma-separated shared interests or topics context: Optional extra context (e.g. "met at SaaStr conference") Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit.…

• generate_inmessage

  Generate a professional LinkedIn InMail or direct message. Args: recipient_name: Recipient's full name recipient_title: Their job title conversation_context: Any prior context (e.g. "they liked my post about AI") goal: What you want to achieve (e.g. "book a demo call", "discuss job opportunity") tone: Message tone -- one of: casual, professional, sales, recruiting Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. …

• generate_outreach_sequence

  Generate a 5-touch LinkedIn outreach sequence with timing recommendations. Sequence: connection request -> value message -> case study -> soft ask -> direct ask. Each touch includes the message text, timing, and strategic goal. Args: target_name: Target person's full name target_title: Their job title target_company: Their company target_industry: Their industry (auto-detected from title if blank) goal: Your outreach goal (e.g. "book a demo", "recruit for senior role") Behavior: This tool generates structured output without modifying external systems. Output is d…

• generate_post

  Generate an engaging LinkedIn post with hashtags. Args: topic: The main topic or theme of the post key_points: Comma-separated key points to include style: Post style -- one of: thought-leadership, announcement, question, story Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured analysis or classification of inputs ag…

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Forks

1

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Weekly downloads

49

Last commit

Sep 4, 2026 (1 month ago)

Last release

Aug 19, 2026 (2 months ago)

Last package publish

Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.CSOAI-ORG/linkedin-outreach-mcp

Version

1.0.10

Auth

No auth

Packages

pypi linkedin-outreach-mcp

License

MIT

Repository

github.com/CSOAI-ORG/linkedin-outreach-mcp

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql