MCP AI Agent Server

by singularitybridge

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About

A server that bridges Cline to an AI agent system, enabling seamless interaction with AI agents through the Model Context Protocol.

Details

Author
singularitybridge
Categories
Developer Tools, AI, Automation

Install via npx (No installation required)

- macOS:~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Windows:%APPDATA%/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Linux:~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

{ "mcpServers": { "ai-agent-mcp": { "command": "npx", "args": ["@avi/mcp-ai-agent-server"], "env": { "AI_AGENT_API_KEY": "your-api-key-here", "AI_AGENT_BASE_URL": "http://localhost:3000" } } } }

Send a message in a session with optional attachments.

- messageContent(required): The message content to send.
- attachments(optional): An array of file attachments.

"Can you use send_message to say 'hello'?"

Clear the current session and start a new one.

"List the available assistants."

- sessionId(required): The session ID to update.
- newAssistantId(required): The ID of the new assistant.

"Change the assistant for the current session to 'assistant-2'."

If you encounter an "Operation timed out" error, it means the request to the AI agent service is taking longer than the server's default internal timeout. You can resolve this by increasing thetimeoutvalue in your Cline MCP settings:

{ "mcpServers": { "ai-agent-mcp": { "command": "npx", "args": ["@avi/mcp-ai-agent-server"], "timeout": 300000, // 5 minutes "env": { "AI_AGENT_API_KEY": "your-api-key-here", "AI_AGENT_BASE_URL": "http://localhost:3000" } } } }
git clone https://github.com/avi/mcp-ai-agent-server.git cd mcp-ai-agent-server npm install npm run build
# Using MCP Inspector npx @modelcontextprotocol/inspector ./build/index.js # Manual testing AI_AGENT_API_KEY=test-key node ./build/index.js

Built with theModel Context Protocol SDK

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

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Remote MCP server (Streamable HTTP) at https://mcp.agenticrail.nz/ — deterministic step-order enforcement for AI agents. evaluate_step returns ALLOW or DENY before a step runs; verify_receipt proves a sequence's Ed25519-signed, hash-chained receipt chain is intact. No auth required: omit the bearer token and calls run on the public demo key. That first clause matters — the form has no "remote/hosted" field, and putting the endpoint in the description is the convention on that list ("Fully REMOTE! Just use…"). The rest mirrors your own server card verbatim, so the listing and the card can't drift.

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A server that bridges Cline to an AI agent system, enabling seamless interaction with AI agents through the Model Context Protocol.

An MCP server that bridges Cline to an AI agent system, allowing for seamless interaction with AI agents through the Model Context Protocol.

- 🚀Send Messages:Send messages to AI agents within a session.
- 💡Session Management:Clear sessions and start new ones.
- 🔧Assistant Management:Get a list of available assistants and change the assistant for a session.

Install via npx (No installation required)

- macOS:~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Windows:%APPDATA%/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Linux:~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

{ "mcpServers": { "ai-agent-mcp": { "command": "npx", "args": ["@avi/mcp-ai-agent-server"], "env": { "AI_AGENT_API_KEY": "your-api-key-here", "AI_AGENT_BASE_URL": "http://localhost:3000" } } } }

Send a message in a session with optional attachments.

- messageContent(required): The message content to send.
- attachments(optional): An array of file attachments.

"Can you use send_message to say 'hello'?"

Clear the current session and start a new one.

"List the available assistants."

- sessionId(required): The session ID to update.
- newAssistantId(required): The ID of the new assistant.

"Change the assistant for the current session to 'assistant-2'."

If you encounter an "Operation timed out" error, it means the request to the AI agent service is taking longer than the server's default internal timeout. You can resolve this by increasing thetimeoutvalue in your Cline MCP settings:

{ "mcpServers": { "ai-agent-mcp": { "command": "npx", "args": ["@avi/mcp-ai-agent-server"], "timeout": 300000, // 5 minutes "env": { "AI_AGENT_API_KEY": "your-api-key-here", "AI_AGENT_BASE_URL": "http://localhost:3000" } } } }
git clone https://github.com/avi/mcp-ai-agent-server.git cd mcp-ai-agent-server npm install npm run build
# Using MCP Inspector npx @modelcontextprotocol/inspector ./build/index.js # Manual testing AI_AGENT_API_KEY=test-key node ./build/index.js

Built with theModel Context Protocol SDK

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

What Shopify did for ecommerce, Chipp does for AI agents. Build, deploy, and monetize AI agents for your business — no engineering team required.

CodeVF MCP lets AI hand off problems to real engineers instantly, so your workflows don’t stall when models hit their limits.

Client implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.

Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.

On-demand access to 150+ specialist AI agent templates — search, browse, and spawn agents. 150x reduction in context usage vs loading agents locally.

AgentChatBus is a persistent AI communication bus that lets multiple independent AI Agents chat, collaborate, and delegate tasks — across terminals, across IDEs, and across frameworks.

Remote MCP server (Streamable HTTP) at https://mcp.agenticrail.nz/ — deterministic step-order enforcement for AI agents. evaluate_step returns ALLOW or DENY before a step runs; verify_receipt proves a sequence's Ed25519-signed, hash-chained receipt chain is intact. No auth required: omit the bearer token and calls run on the public demo key. That first clause matters — the form has no "remote/hosted" field, and putting the endpoint in the description is the convention on that list ("Fully REMOTE! Just use…"). The rest mirrors your own server card verbatim, so the listing and the card can't drift.

An AI Agent with optional Human-in-the-Loop Safety and Model Context Protocol (MCP) integration.

Agent Mail Rooms is a paid remote MCP endpoint for OpenAI Codex agent coordination MCP. It exposes structured JSON tools, a public server card, token-based access, usage receipts, and audit-

MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (agy) — purpose-built tools, model routing with fallback, session continuity, and output truncation to save Claude's context and tokens.

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