Why are MCP tools not showing in Claude?

If MCP tools are not showing in Claude, try these steps: 1) Ensure Claude Desktop is fully restarted after configuration changes. 2) Check your config file syntax for any JSON errors. 3) Verify that your API key is valid and properly formatted in the configuration.

What should I do if I get a rate limit exceeded error?

When you encounter rate limit errors: 1) MCP respects your plan's API rate limits automatically. 2) Consider upgrading your plan for higher rate limits. 3) Use more specific queries to reduce the number of API calls needed.

Why am I getting 'no results found' errors?

If you're getting no results: 1) Double-check the spelling of usernames or search terms. 2) Verify that the profile or user actually exists on the platform. 3) Try using broader search terms or different keywords.

What do the different MCP error codes mean?

Common MCP error codes: MCP_AUTH_ERROR means your API key is invalid or missing. MCP_RATE_LIMIT indicates you've exceeded your rate limit. MCP_NOT_FOUND means the requested resource doesn't exist. MCP_TIMEOUT occurs when a request takes too long to complete.

How do I install the MCP server for Anysite?

To install the MCP server: 1) Run 'npm install -g @anysiteio/mcp-server' in your terminal. 2) Add the server configuration to your Claude or Cursor settings with your API key. 3) Restart your AI tool to activate the MCP integration.

Can I use MCP with other AI tools besides Claude?

Yes! MCP works with Claude Desktop, Claude Code, Cursor IDE, and any MCP-compatible client. The Model Context Protocol is an open standard, so any tool that supports MCP can connect to the Anysite server.

MCP Server — AI-Native Access to Web Data

Name: Anysite MCP Server
Rating: 4.9 (89 reviews)
Author: Anysite

Let Claude, Cursor, and other AI tools access LinkedIn, Instagram, Twitter, and Reddit data directly. No code required - just natural language.

For vibecoders: If you're building with Claude, Cursor, or any MCP-compatible AI assistant, the MCP server gives you access to LinkedIn, Instagram, Twitter, Reddit, YouTube, and any web resource through natural language. No API calls to write. No scrapers to maintain. Describe the data you need, get structured JSON back.

"Get LinkedIn profile of Satya Nadella" → MCP → Structured Data in Claude

Quick Install — Claude Desktop (OAuth)

# Add as Custom Connector in Claude Desktop

https://mcp.anysite.io/mcp

AI-native

Natural language

60+ tools

$30/mo unlimited

The bridge between AI and web data

Model Context Protocol enables AI assistants to access external tools and data sources directly.

Model Context Protocol (MCP) is an open standard that enables AI assistants to access external tools and data sources. Anysite's MCP server gives AI agents direct access to LinkedIn, Instagram, and Reddit data through simple, natural language requests.

Install Once

Add our MCP server to your AI tool

Ask Naturally

"Find marketing managers in San Francisco on LinkedIn"

Get Results

Structured data appears directly in your AI conversation

Take Action

AI can process, analyze, and act on the data

No more copy-pasting. No more manual searches. Structured data, directly in your AI workflow.

Works with your favorite AI assistants

Native integration with leading AI tools — and any MCP-compatible client.

Claude Desktop ✓

Official Anthropic integration
Full tool support
Streaming responses
Error handling

Cursor IDE ✓

Built-in MCP support
Code generation with real data
Inline data access
Project-wide availability

OpenAI Codex — Compatible (unverified)

MCP protocol support
Code-focused workflows
API data in prompts
Agentic capabilities

Any MCP Client

Standard MCP protocol
Custom AI agents
Works with any MCP-compatible tool

Natural language access to web data

Simple commands that understand what you need.

`search_linkedin_users`

Natural language: "Find marketing managers at tech companies"

Parameters: query, filters, limit

`get_linkedin_profile`

Natural language: "Get detailed LinkedIn profile information"

Parameters: profile_url, include_posts

`lookup_linkedin_email`

Natural language: "Find email addresses associated with LinkedIn profiles"

Parameters: profile_url, verification_level

`send_linkedin_chat_message`

Natural language: "Send direct messages on LinkedIn"

Parameters: recipient_id, message, thread_id

`get_linkedin_connections`

Natural language: "Retrieve LinkedIn connections list"

Parameters: profile_id, degree, limit

`get_linkedin_posts`

Natural language: "Fetch LinkedIn posts from profiles or feeds"

Parameters: profile_id, post_type, date_range

`search_instagram_posts`

Natural language: "Search Instagram posts by hashtag or keyword"

Parameters: query, hashtag, post_count, include_stories

`get_instagram_profile`

Natural language: "Get detailed Instagram profile information"

Parameters: username, include_metrics

`get_instagram_post_comments`

Natural language: "Extract comments from Instagram posts"

Parameters: post_url, comment_limit

`search_twitter_users`

Natural language: "Search for Twitter/X user profiles"

Parameters: query, verified_only, follower_threshold

`get_twitter_posts`

Natural language: "Retrieve tweets from user timelines"

Parameters: username, tweet_count, include_retweets

`search_reddit_posts`

Natural language: "Search for Reddit posts across subreddits"

Parameters: query, subreddit, sort_by, time_range

`get_reddit_comments`

Natural language: "Get comments from Reddit posts"

Parameters: post_url, comment_depth

Get running in 60 seconds

Simple installation for your preferred AI tool.

Setup Option 1: Claude Desktop (OAuth) — Recommended

The simplest setup. No API keys to manage.

Go to anysite.io, navigate to MCP Server Integration
Copy the OAuth URL: https://mcp.anysite.io/mcp
In Claude Desktop: Settings → Connectors → Add Custom Connector
Paste the URL, click Connect
Authorize in browser (one-time)

Setup Option 2: Claude Code (CLI)

claude mcp add --transport sse anysite "https://api.anysite.io/mcp/direct?api_key=YOUR_KEY"

Setup Option 3: Cursor IDE

Add to ~/.cursor/config.json:

{
  "mcp.servers": {
    "anysite-mcp-server": {
      "command": "python",
      "args": ["/path/to/anysite-mcp-server/main.py"],
      "env": {
        "ANYSITE_ACCESS_TOKEN": "your_access_token_here",
        "ANYSITE_ACCOUNT_ID": "your_account_id_here"
      }
    }
  }
}

Setup Option 4: Self-Hosted (Advanced)

For teams that need full control.

git clone https://github.com/anysiteio/anysite-mcp-server.git
cd anysite-mcp-server

See MCP in action

Real examples of how AI agents use our tools.

Example: LinkedIn Lead Research

You: Find marketing managers at tech companies and get their contact info

Claude: I'll search for marketing managers and then look up their contact information.

[Using search_linkedin_users with query="marketing manager tech company"]

Found several marketing managers. Let me get detailed profiles and emails for the top results:

[Using get_linkedin_profile for each result]

[Using lookup_linkedin_email for profiles]

Here are 3 qualified leads with contact info:

1. Sarah Chen
• Title: Marketing Manager at TechCorp
• Location: San Francisco, CA
• Experience: 5+ years in B2B SaaS marketing
• Email: s.chen@techcorp.com (verified)
• LinkedIn: linkedin.com/in/sarahchen

2. Michael Rodriguez
• Title: Senior Marketing Manager at CloudBase
• Location: Austin, TX
• Experience: Led product launches, content strategy
• Email: michael.r@cloudbase.io (verified)
• Recent Activity: Posted about AI marketing tools

Would you like me to draft personalized outreach messages or find more leads?

Example: Instagram Content Analysis

You: Analyze @competitor's Instagram strategy and top performing content

Claude: I'll analyze their Instagram profile and recent posts to understand their content strategy.

[Using get_instagram_profile with username="competitor"]

[Using search_instagram_posts to get their recent content]

Instagram Profile Analysis:

• Followers: 24.5K (growing ~500/month)
• Posts: 342 total
• Posting frequency: 4-5x per week
• Bio keywords: "Innovation", "Sustainability", "Tech"

Content Strategy Insights:

• Top performing content types:
  - Behind-the-scenes: Avg 3.2K likes
  - Product demos: Avg 2.8K likes
  - Team spotlights: Avg 2.1K likes
• Hashtag strategy: Mix of branded (#CompetitorTech) and trending (#AI, #Innovation)
• Peak engagement: Tuesday/Thursday at 10am EST

[Using get_instagram_post_comments on top posts]

Audience Sentiment:
• Common themes: "innovative", "user-friendly", "great support"
• Pain points mentioned: pricing, mobile app bugs
• Feature requests: dark mode, API access

Power user capabilities

Advanced features for complex workflows.

Cross-Platform Intelligence

Combine LinkedIn profiles with social media activity.

"Get the LinkedIn profile of the Instagram account @techfounder, find their email, and check their recent LinkedIn posts"

Contact Enrichment

Build complete contact profiles with verified information.

"For each person in this LinkedIn search, get their profile details, lookup their email addresses, and check if they have recent posts about hiring"

Twitter/X Integration

Analyze Twitter profiles and engagement data.

"Search for AI researchers on Twitter with 10K+ followers, then get their recent tweets about machine learning"

Get the most from MCP

Tips for effective queries and optimal results.

Effective Queries

Don't

"Get LinkedIn"
"Search Instagram"
"Reddit data"

Do

"Find senior software engineers at Google on LinkedIn"
"Show me fitness influencers on Instagram with 10k-100k followers"
"Find recent Reddit discussions about React vs Vue in r/webdev"

Performance Tips

Be specific in queries to reduce API calls
Use filtering parameters when available
Cache results for repeated analyses
Batch similar requests together

Common issues and solutions

Quick fixes for the most common problems.

MCP tools not showing

• Ensure Claude Desktop is fully restarted
• Check config file syntax
• Verify API key is valid

Rate limit exceeded

• MCP respects API rate limits
• Upgrade plan for higher limits
• Use more specific queries

No results found

• Check query spelling
• Verify profile/user exists
• Try broader search terms

Error Codes

• MCP_AUTH_ERROR: Invalid API key
• MCP_RATE_LIMIT: Too many requests
• MCP_NOT_FOUND: Resource doesn't exist
• MCP_TIMEOUT: Request took too long

MCP to Explore, CLI to Execute

Most teams start with MCP for discovery — what data is available, what does this endpoint return, what does this company look like on LinkedIn. Then they graduate to the CLI for production: scheduled pipelines, batch processing, database loading.

The MCP server and CLI share the same Anysite engine. Data you find through MCP, you can collect at scale through CLI.

Start using MCP in 3 minutes

Everything you need to get started.

Get API Key

Install MCP

Run the install command

Configure Tool

Add server with API key

Start Asking

Use natural language

Resources

GitHub Repository MCP Specification API Documentation

Get API Key Add to Cursor Read API Docs