mcp-universal-gentes
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-universal-gentesConnect to https://petstore.swagger.io/v2/swagger.json and list capabilities"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Universal MCP Lab
Minimal proof of concept to validate dynamic capability acquisition behind a stable MCP surface.
Hypothesis
An agent starts with six stable tools. It connects an OpenAPI service, discovers new internal capabilities, inspects them, and invokes them without modifying the published MCP catalog.
Planned stable surface:
services.connectservices.disconnectservices.listcapabilities.listcapabilities.describecapabilities.invoke
The PoC does not provide raw access to the machine, does not expose arbitrary shell, and does not store credentials.
Related MCP server: openapi-mcp
Run the local test
python -m unittest discover -s tests -v
python scripts/demo.pyReal MCP over stdio
Phase 3 incorporates a real MCP server with the six stable tools. Install the declared dependency and let an MCP host start the process:
pip install -e .
python -m entradas.mcp.serverThe process does not show an interface nor should it write to stdout: it waits for MCP messages on stdin. The test tests/test_mcp_protocol.py acts as a real MCP client, verifies tools/list, connects the synthetic OpenAPI, and confirms the public catalog does not change.
This local transport is deliberately limited: it does not publish HTTP, does not include OAuth, does not connect the PC, and does not enable write approvals.
To enable an HTTP read in the lab, configure a local allowlist before startup. The OpenAPI document sent via MCP cannot modify that destination:
$env:UNIVERSAL_MCP_READ_BASE_URLS = '{"customers":"https://api.example.test"}'
python -m entradas.mcp.serverOnly GET requests to configured services are executed; there is a timeout, size limit, mandatory JSON, no redirects or retries. The suite does not use the Internet: it spins up a temporary local endpoint to verify this flow.
Owner's local node
The PC node is a separate local MCP process, not a remote control function. Only the machine owner can start it and set an explicit folder:
$env:UNIVERSAL_MCP_OWNER_ALLOWED_ROOT = 'C:\carpeta-autorizada'
python -m entradas.pc_node.serverIts only tool is pc.read_text(relative_path). It does not include shell, writing, disk exploration, browser, processes, or network listeners. The tunnel and authentication between the gateway and this node belong to a later phase.
Action Boundary for writes
A write does not accept approved=true. The first request returns a confirmation reference; a trusted human interface must approve that exact action outside MCP. The resulting authorization is single-use, bound to the same arguments, and consumed before the executor. This does not yet enable writes on the PC node.
Status
Architecture + lab core + deep ECA prepared. See STATUS.md and docs/PLAYBOOK.md.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseAqualityDmaintenanceExposes two MCP tools (discover and execute) that enable agents to query an OpenAPI schema via natural language and execute matched API operations.2
- FlicenseNot gradedqualityCmaintenanceEnables agents to query real-time OpenAPI documentation of backend services, providing tools to list services, endpoints, and schemas via MCP.
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to access a unified catalog of tools from various APIs (OpenAPI, GraphQL, MCP, Google Discovery) through the MCP protocol.MIT
- AlicenseNot gradedqualityBmaintenanceAn OpenAPI-driven MCP agent hub that dynamically generates MCP tools from Swagger/OpenAPI specs, enabling conversational interaction with backend APIs through natural language.14Apache 2.0
Related MCP Connectors
Operator-as-agent MCP hub. 6 tools. First $5 free, then $0.001/call.
Free public MCP for AI agents — 193 tools, 44 workflows. No API key.
Real-time Amazon, WIPO & PACER data for AI agents — 19 tools via the MCP protocol.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/dajarony/mcp-universal-gentes'
If you have feedback or need assistance with the MCP directory API, please join our Discord server