What is the GoPluto AI MCP server?

GoPluto AI is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.

How do MCP servers relate to agent skills?

Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.

How are reviews shown for GoPluto AI?

This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

developer-tools

GoPluto AI▌

by gopluto-ai

Access vetted human experts on demand with GoPluto AI — fast, reliable answers when you need real people.

Access human experts on-demand.

github stars

★ 2

GitHub

best for

/ General purpose MCP workflows

capabilities

/ get_user_profile
/ findleadforprovider
/ suggestservices
/ addservices
/ checkServiceAcceptance
/ save_linkedin_profile_url

what it does

Access human experts on-demand.

about

GoPluto AI is an official MCP server published by gopluto-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Access vetted human experts on demand with GoPluto AI — fast, reliable answers when you need real people. It is categorized under developer tools. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install GoPluto AI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

GoPluto AI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

GoPluto MCP — Up‑to‑date Service Knowledge & Snippets in Any Prompt

GoPluto MCP lets AI coding assistants pull fresh service/provider knowledge, routing rules, and ready‑to‑paste snippets from GoPluto — right inside your prompt.

❌ Without GoPluto

❌ No guarantee of finding the right expert when you actually need them
❌ Made-up providers and broken flows waste time
❌ Constant context-switching between people slows you down

✅ With GoPluto

Add use gopluto in your prompt (or set a rule once) and the assistant fetches live GoPluto context:

Fresh, verified provider knowledge pulled directly into your prompt
instant provider matching hints & filters
minimal payloads & code snippets for expert access in minutes

Examples

Draft a WhatsApp onboarding flow that asks for experts within minutes. use gopluto

Show me the minimal payload to create a Service Request and start matching experts in under 60 seconds. use gopluto

🛠️ Installation

Requirements

Any MCP‑capable client (Cursor, Claude Code, VS Code, Windsurf, Zed, etc.)
GoPluto API Key (keep client‑side)
Network access to https://api.gopluto.ai/mcp

Auth header: gopluto-api-key: YOUR_API_KEY

If your client can’t attach headers to remote servers, use the included local stdio proxy (main.py) to add the header for you.

Cursor

One‑click (Remote HTTP)

Manual (Remote)

{
  "mcpServers": {
    "gopluto": {
      "url": "https://api.gopluto.ai/mcp",
      "headers": { "gopluto-api-key": "YOUR_API_KEY" }
    }
  }
}

Local (stdio proxy)

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"],
      "env": {
        "GOPLUTO_MCP_URL": "https://api.gopluto.ai/mcp",
        "GOPLUTO_AUTH_HEADER": "gopluto-api-key",
        "GOPLUTO_API_KEY": "YOUR_API_KEY",
        "GOPLUTO_TRANSPORT": "sse"
      }
    }
  }
}

Claude Code (CLI)

Remote

claude mcp add --transport http gopluto https://api.gopluto.ai/mcp \
  --header "gopluto-api-key: YOUR_API_KEY"

Local

claude mcp add gopluto -- uv run python3 /ABSOLUTE/PATH/TO/gopluto-mcp/main.py

Windsurf

Remote

{
  "mcpServers": {
    "gopluto": {
      "serverUrl": "https://api.gopluto.ai/mcp",
      "headers": { "gopluto-api-key": "YOUR_API_KEY" }
    }
  }
}

Local

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

VS Code (Copilot Chat MCP)

Remote

"mcp": {
  "servers": {
    "gopluto": {
      "type": "http",
      "url": "https://api.gopluto.ai/mcp",
      "headers": { "gopluto-api-key": "YOUR_API_KEY" }
    }
  }
}

Local

"mcp": {
  "servers": {
    "gopluto": {
      "type": "stdio",
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

Cline

Marketplace → search GoPluto → Install

Manual (Remote)

{
  "mcpServers": {
    "gopluto": {
      "url": "https://api.gopluto.ai/mcp",
      "type": "streamableHttp",
      "headers": { "gopluto-api-key": "YOUR_API_KEY" }
    }
  }
}

Zed

{
  "context_servers": {
    "GoPluto": {
      "command": {
        "path": "uv",
        "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
      }
    }
  }
}

Augment Code

UI → Settings → Tools → + Add MCP → Command:

uv run python3 /ABSOLUTE/PATH/TO/gopluto-mcp/main.py

Manual

"augment.advanced": {
  "mcpServers": [
    {
      "name": "gopluto",
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  ]
}

Roo Code

Remote

{
  "mcpServers": {
    "gopluto": {
      "type": "streamable-http",
      "url": "https://api.gopluto.ai/mcp",
      "headers": { "gopluto-api-key": "YOUR_API_KEY" }
    }
  }
}

Local

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

Gemini CLI

Remote

{
  "mcpServers": {
    "gopluto": {
      "httpUrl": "https://api.gopluto.ai/mcp",
      "headers": {
        "gopluto-api-key": "YOUR_API_KEY",
        "Accept": "application/json, text/event-stream"
      }
    }
  }
}

Local

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

Claude Desktop

Remote: Settings → Connectors → Add Custom Connector
URL: https://api.gopluto.ai/mcp
Header: gopluto-api-key: YOUR_API_KEY

Local: Developer settings → edit claude_desktop_config.json

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"],
      "env": {
        "GOPLUTO_MCP_URL": "https://api.gopluto.ai/mcp",
        "GOPLUTO_AUTH_HEADER": "gopluto-api-key",
        "GOPLUTO_API_KEY": "YOUR_API_KEY",
        "GOPLUTO_TRANSPORT": "sse"
      }
    }
  }
}

Opencode

Remote

"mcp": {
  "gopluto": {
    "type": "remote",
    "url": "https://api.gopluto.ai/mcp",
    "headers": { "gopluto-api-key": "YOUR_API_KEY" },
    "enabled": true
  }
}

Local

"mcp": {
  "gopluto": {
    "type": "local",
    "command": ["uv","run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"],
    "enabled": true
  }
}

JetBrains AI Assistant

Settings → Tools → AI Assistant → Model Context Protocol (MCP) → + Add → As JSON

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

Kiro

{
  "mcpServers": {
    "GoPluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

Trae

Remote

{
  "mcpServers": {
    "gopluto": { "url": "https://api.gopluto.ai/mcp" }
  }
}

Local

{
  "mcpServers": {
    "gopluto": {
      "command": "uv",
      "args": ["run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

Bun / Deno (local)

Bun

{
  "mcpServers": {
    "gopluto": {
      "command": "bunx",
      "args": ["uv","run","python3","/ABSOLUTE/PATH/TO/gopluto-mcp/main.py"]
    }
  }
}

Deno

{
  "mcpServers": {
    "gopluto": {
      "command": "deno",
      "args": ["run","--allow-run","--allow-env","--allow-net","/ABSOLUTE/PATH/TO/gopluto-mcp/deno_shim.ts"]
    }
  }
}

Docker (local HTTP)

Dockerfile

FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt main.py ./
RUN pip install --no-cache-dir -r requirements.txt
ENV GOPLUTO_MCP_URL=https://api.gopluto.ai/mcp \
    GOPLUTO_AUTH_HEADER=gopluto-api-key \
    GOPLUTO_TRANSPORT=sse
EXPOSE 12006
CMD ["python","main.py","--mode","http","--host","0.0.0.0","--port","12006"]

Run:

docker build -t gopluto-mcp .
docker run --rm -p 12006:12006 -e GOPLUTO_API_KEY=YOUR_API_KEY gopluto-mcp

Point your client to http://localhost:12006.

Windows notes

If paths/quoting are tricky, use cmd /c or PowerShell; prefer absolute paths for command and args.

🔧 Available Tools (examples)

resolve-gopluto-id – Resolve a package/service name to a GoPluto ID
get-gopluto-docs – Fetch docs/snippets for a GoPluto ID
search-providers – Query providers by skills/geo/budget
create-service-request – Minimal payload helper

(Your upstream server’s tool list may evolve; use your client’s tool inspector to list them.)

🛟 Tips

Add a Rule to auto‑use GoPluto

Always use gopluto when I ask for service matching, onboarding flows, or API payloads.
Automatically call GoPluto MCP tools to resolve IDs and fetch snippets.

HTTPS Proxy: standard HTTPS_PROXY / https_proxy env variables apply.

💻 Development (local proxy)

uv pip install -r requirements.txt
export GOPLUTO_API_KEY="YOUR_REAL_KEY"
uv run python3 main.py               # stdio (default)
# or:
uv run python3 main.py --mode http --port 12006

Smoke test remote server

curl -X POST "https:

---

FAQ

What is the GoPluto AI MCP server?: GoPluto AI is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?: Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for GoPluto AI?: This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

MCP server reviews

Ratings

4.5★★★★★10 reviews

★★★★★Shikha Mishra· Oct 10, 2024
GoPluto AI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
★★★★★Piyush G· Sep 9, 2024
We evaluated GoPluto AI against two servers with overlapping tools; this profile had the clearer scope statement.
★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: GoPluto AI is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Sakshi Patil· Jul 7, 2024
GoPluto AI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
★★★★★Ganesh Mohane· Jun 6, 2024
I recommend GoPluto AI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: GoPluto AI surfaces stars and publisher context so we could sanity-check maintenance before adopting.
★★★★★Dhruvi Jain· Apr 4, 2024
GoPluto AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
★★★★★Rahul Santra· Mar 3, 2024
According to our notes, GoPluto AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
★★★★★Pratham Ware· Feb 2, 2024
We wired GoPluto AI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
★★★★★Yash Thakker· Jan 1, 2024
GoPluto AI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.