HoPe Chatbot MCP Server
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., "@HoPe Chatbot MCP ServerList the available MCP tools and resources in this server."
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.
HoPe Chatbot MCP Server
Uses FastMCP v3.
For code organization reasons MCP functionality is split into logical modules, MCP sub-servers.
Main MCP server can import/mount sub-domain MCP servers. (mcp_server/app.py)
Development
Define your capabilities separated to composable MCP servers.
Define new MCP tools, resources, prompts...
for <some> domain
for <some> business capability
in <some> MCP sub-server
in mcp_server/servers/<some>/mcp.py.
Expose MCP server capabilities
Decide how you want your MCP tools, resources, prompts... to be available:
in 1 combined MCP server (all-in-one) 🌐
as separate MCP server only 🔒🪪
both ✨
All-in-one MCP server
Include sub-domain MCP server in combined MCP server.
Follow these steps in mcp_server/app.py:
Import your FastMCP app
from mcp_server.servers.some import some_mcpFind main MCP server defined. Add capabilities of your MCP server into main MCP server in startup/setup lifespan phase of main MCP server
async def setup(app: FastMCP): # Import or mount subservers app.mount(some_mcp) # dynamic mount # await app.import_server(some_mcp) # static copy @contextlib.asynccontextmanager async def lifespan(app: FastMCP): # Setup await setup(app) yield # Cleanup main_mcp = FastMCP( name="home-of-performance-mcp-server", lifespan=lifespan )Main combined MCP server contains capabilities of your MCP server at:
BASE_URL/mcp.It should be true for main combined MCP server ran in all cases:
mcp_server/app.pyran as a moduleFastMCP.run method
mcp_server/app.pyran with uvicornFastMCP.http_appASGI app of your MCP server mount to FastAPI app, uvicorn accessing FastAPI ASGI app
(uvicorn accessing your ASGI directly will work too)
Separate MCP server
Expose separate sub-domain MCP server.
Follow these steps in mcp_server/app.py:
Import your FastMCP app
from mcp_server.servers.some import some_mcpCreate ASGI app from your FastMCP app
(no need to redefine
path="/mcp"kwarg)some_mcp_app = some_mcp.http_app()Add lifespan of your FastMCP app to combined lifespan used by FastAPI app
@contextlib.asynccontextmanager async def combined_lifespan(app: FastAPI): """Combine lifespans for FastAPI app""" # Run all lifespans async with main_mcp_app.lifespan(app): async with some_mcp_app.lifespan(app): # Setup yield # Cleanup fastapi_app = FastAPI( title="Home of Performance MCP", lifespan=combined_lifespan )Mount ASGI app of your MCP server to FastAPI app under
/somepathfastapi_app.mount("/some", some_mcp_app)find your separate MCP server at:
BASE_URL/some/mcp
Related MCP server: Golf
Running locally
Define environment variables in
.envaccording to.env.template(do not commit secrets)Install required python packages from
requirements.txtStart FastMCP app through
runmethodpython -m mcp_server.appor run FastAPI app with MCP server(s) mount into it through gunicorn, uvicorn...
source .venv/bin/activate && uvicorn src.app:app --host 0.0.0.0 --port 8000 --reload
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
- FlicenseNot gradedqualityDmaintenanceEnables dynamic loading, hot-reloading, and orchestration of MCP servers without restarting Claude Code, allowing programmatic tool calling and workflow automation across multiple servers.2
- AlicenseNot gradedqualityCmaintenanceEasiest framework for building MCP servers with automatic discovery of tools, prompts, and resources, plus enterprise-grade authentication and telemetry.837Apache 2.0

Fluent MCPofficial
AlicenseNot gradedqualityDmaintenanceEnables building MCP servers with embedded reasoning, allowing complex tasks to be offloaded to an internal LLM for token and cost efficiency.1MIT- AlicenseNot gradedqualityDmaintenanceAggregates multiple MCP servers into a single endpoint, enabling LLM clients to access tools, resources, and prompts from various backends through one connection.15MIT
Related MCP Connectors
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration
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/ahmetacn/axis-chart-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server