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
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
<img alt="Install in Cursor (Local proxy)" src="https://img.shields.io/badge/Cursor-Install%20Local%20Proxy-0098FF?style=for-the-badge&logo=visualstudiocode&logoColor=white">
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 IDget-gopluto-docs– Fetch docs/snippets for a GoPluto IDsearch-providers– Query providers by skills/geo/budgetcreate-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 67 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★67 reviews- ★★★★★Tariq Verma· Dec 28, 2024
According to our notes, GoPluto AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Tariq Liu· Dec 28, 2024
According to our notes, GoPluto AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Dhruvi Jain· Dec 24, 2024
GoPluto AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Dev Abbas· Dec 16, 2024
GoPluto AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Olivia Kapoor· Dec 4, 2024
We wired GoPluto AI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Nia Mehta· Nov 23, 2024
We evaluated GoPluto AI against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Zara Srinivasan· Nov 19, 2024
GoPluto AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Tariq Sethi· Nov 19, 2024
GoPluto AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Oshnikdeep· Nov 15, 2024
According to our notes, GoPluto AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Michael Jackson· Nov 7, 2024
According to our notes, GoPluto AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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