dynamic-mcp
MCP proxy server that reduces LLM context overhead by grouping tools from multiple upstream MCP servers and loading tool schemas on-demand.
Instead of requiring you to expose all MCP servers upfront (which can consume thousands of tokens), dynamic-mcp exposes only two MCP tools initially.
It supports tools, resources, and prompts from upstream MCP servers with stdio, HTTP, and SSE transports, handles OAuth, and automatically retries failed connections.
Quick Start
Installation
Option 1: Python package
Use uvx to run the PyPI package in your agent's MCP settings:
{
"mcpServers": {
"dynamic-mcp": {
"command": "uvx",
"args": ["dmcp", "/path/to/your/dynamic-mcp.json"]
}
}
}
You can set the DYNAMIC_MCP_CONFIG environment variable and omit the config path.
Option 2: Native binary
Download a release for
your operating system and put dmcp in your PATH:
{
"mcpServers": {
"dynamic-mcp": {
"command": "dmcp"
}
}
}
Set the DYNAMIC_MCP_CONFIG environment variable and omit the args altogether.
Option 3: Compile from source
Install from crates.io:
cargo install dynamic-mcp
The binary is then available at ~/.cargo/bin/dmcp ($CARGO_HOME/bin/dmcp).
Import from AI Coding Tools
Dynamic-mcp can automatically import MCP server configurations from popular AI coding tools.
Supported Tools (<tool-name>):
- Cursor (
cursor) - OpenCode (
opencode) - Claude Desktop (
claude-desktop) - Claude Code CLI (
claude) - Visual Studio Code (
vscode) - Cline (
cline) - KiloCode (
kilocode) - Codex CLI (
codex) - Gemini CLI (
gemini) - Google Antigravity (
antigravity)
Quick Start
Import from project config (run in project directory):
dmcp import <tool-name>
Import from global/user config:
dmcp import --global <tool-name>
Force overwrite (skip confirmation prompt):
dmcp import <tool-name> --force
The command will:
- Detect your tool's config location
- Parse the existing MCP servers
- Interactively prompt for descriptions
- Interactively prompt for feature selection (tools, resources, prompts)
- Normalize environment variable formats
- Generate
dynamic-mcp.json
Example Import
$ dmcp import cursor
🔄 Starting import from cursor to dynamic-mcp format
📖 Reading config from: .cursor/mcp.json
✅ Found 2 MCP server(s) to import
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Server: filesystem
Type: stdio
Config details:
command: "npx"
args: ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
💬 Enter description for 'filesystem' (what this server does): File operations on /tmp directory
🔧 Keep all features (tools, resources, prompts) for 'filesystem'? [Y/n]:
(press Enter to keep all features, or 'n' to customize)
[... prompts for other servers ...]
✅ Import complete!
📝 Output saved to: dynamic-mcp.json
Feature Selection: During import, you can customize which MCP features are enabled per server:
- Press Enter (or Y) to keep all features (tools, resources, prompts)
- Type 'n' to selectively enable/disable individual features
- This allows fine-grained control without manually editing the config file
Example of custom feature selection:
🔧 Keep all features (tools, resources, prompts) for 'server'? [Y/n]: n
Select features to enable (press Enter to accept default):
Enable tools? [Y/n]: y
Enable resources? [Y/n]: n
Enable prompts? [Y/n]: n
Tool-Specific Notes
- Cursor: Supports both
.cursor/mcp.json(project) and~/.cursor/mcp.json(global) - Claude Desktop: Global config only, location varies by OS:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
- macOS:
- Claude Code CLI: Supports both
.mcp.json(project root) and~/.claude.json(user/global) - Gemini CLI: Supports both
.gemini/settings.json(project) and~/.gemini/settings.json(global) - VS Code: Supports both
.vscode/mcp.json(project) and user-level config (OS-specific paths) - OpenCode: Supports both JSON and JSONC formats (JSON with comments)
- Codex CLI: Global only - uses TOML format (
~/.codex/config.toml) - Antigravity: Global only -
~/.gemini/antigravity/mcp_config.json
Environment Variable Conversion
The import command automatically normalizes environment variables to dynamic-mcp's ${VAR} format:
| Tool | Original Format | Converted To |
|---|---|---|
| Cursor | ${env:GITHUB_TOKEN} | ${GITHUB_TOKEN} |
| Claude Desktop | ${GITHUB_TOKEN} | ${GITHUB_TOKEN} |
| Claude Code CLI | ${GITHUB_TOKEN} | ${GITHUB_TOKEN} |
| VS Code | ${env:GITHUB_TOKEN} | ${GITHUB_TOKEN} |
| Codex | "${GITHUB_TOKEN}" | ${GITHUB_TOKEN} |
Note: VS Code's ${input:ID} secure prompts cannot be automatically converted. You'll need to manually configure these after import.
See docs/IMPORT.md for detailed tool-specific import guides.
Dynamic MCP format
Calling upstream servers on demand
Create a dynamic-mcp.json file with a description field for each server:
{
"mcpServers": {
"filesystem": {
"description": "Use when you need to read, write, or search files.",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
}
}
}
Environment Variables
It supports the ${VAR} syntax for environment variable interpolation:
{
"mcpServers": {
"example": {
"description": "Example with env vars",
"command": "node",
"args": ["${HOME}/.local/bin/server.js"],
"env": {
"API_KEY": "${MY_API_KEY}"
}
}
}
}
Server Types
It supports all standard MCP transport mechanisms.
Note: The type field is optional when url is present. If omitted, the server automatically uses HTTP transport with SSE detection per the MCP spec. This maintains backwards compatibility with tools like OpenCode.
stdio (Default)
{
"description": "Server description for LLM",
"command": "npx",
"args": ["-y", "package-name"],
"env": {
"KEY": "value"
}
}
http
{
"description": "HTTP server (type is optional)",
"url": "https://api.example.com",
"headers": {
"Authorization": "Bearer ${TOKEN}"
}
}
Or with explicit type:
{
"type": "http",
"description": "HTTP server with explicit type",
"url": "https://api.example.com",
"headers": {
"Authorization": "Bearer ${TOKEN}"
}
}
sse
SSE servers are automatically detected when the server responds with Content-Type: text/event-stream. You can also explicitly specify type: "sse" if the server only supports SSE:
{
"type": "sse",
"description": "SSE server (explicit type required only if server doesn't auto-detect)",
"url": "https://api.example.com/sse",
"headers": {
"Authorization": "Bearer ${TOKEN}"
}
}
OAuth Authentication (HTTP/SSE)
{
"description": "OAuth-protected MCP server (type is optional)",
"url": "https://api.example.com/mcp",
"oauth_client_id": "your-client-id",
"oauth_scopes": ["read", "write"]
}
OAuth Flow:
- On first connection, a browser opens for authorization
- Access tokens are stored in
~/.dynamic-mcp/oauth-servers/<server-name>.json - Automatic token refresh before expiry (with RFC 6749 token rotation support)
- The token is injected as an
Authorization: Bearer <token>header
Feature Flags
Control which MCP features are exposed per server using the optional features field. By default, all features (tools, resources, prompts) are enabled. You can selectively disable features:
{
"mcpServers": {
"server-with-tools-only": {
"description": "Server that only exposes tools",
"command": "npx",
"args": ["-y", "some-mcp-server"],
"features": {
"resources": false,
"prompts": false
}
},
"server-without-prompts": {
"description": "HTTP server without prompt templates (type is optional)",
"url": "https://api.example.com",
"features": {
"prompts": false
}
}
}
}
Behavior:
- If
featuresis omitted, all features are enabled (opt-out design) - If
featuresis specified, unmentioned features default totrue(enabled) - Disabled features return an error if accessed via the proxy
- Example: If
resources: false, callingresources/listreturns an error
Disabling Servers
Use the optional enabled field to disable a specific server without removing it from the config:
{
"mcpServers": {
"filesystem": {
"description": "File operations",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
},
"disabled-server": {
"description": "This server won't connect",
"command": "some-command",
"enabled": false
}
}
}
Behavior:
- If
enabledis omitted, the server is enabled (default behavior) - If
enabled: false, the server is skipped during connection and won't appear in available groups - Useful for temporarily disabling servers during testing or maintenance without editing config structure
- See
examples/config.features.example.jsonfor a complete example
Troubleshooting
Server Connection Issues
Problem: ❌ Failed to connect to <server>
Solutions:
- Connection timeout: Each server has 10-second timeout for transport creation, initialization, and tool listing
- Automatic retry: Failed servers are retried up to 3 times with exponential backoff (2s, 4s, 8s)
- Periodic retry: Failed servers are retried every 30 seconds in the background
- Slow HTTP servers: If remote HTTP/SSE servers are slow, they'll timeout and be retried automatically
- Stdio servers: Verify command exists (
which <command>) - HTTP/SSE servers: Check that the server is running and the URL is correct
- Environment variables: Ensure all
${VAR}references are defined - OAuth servers: Complete OAuth flow when prompted
Logging:
By default, errors and warnings are logged to the terminal. For more verbose output:
# Debug mode (all logs including debug-level details)
RUST_LOG=debug uvx dmcp config.json
# Info mode (includes informational messages)
RUST_LOG=info uvx dmcp config.json
# Default mode (errors and warnings only, no RUST_LOG needed)
uvx dmcp config.json
OAuth Authentication Problems
Problem: The browser doesn't open for OAuth
Solutions:
- Manually open the URL shown in the console
- Check that the firewall allows localhost connections
- Verify
oauth_client_idis correct for the server
Problem: Token refresh fails
Solutions:
- Delete cached token:
rm ~/.dynamic-mcp/oauth-servers/<server-name>.json - Re-authenticate on next connection
Environment Variable Not Substituted
Problem: Config shows ${VAR} instead of value
Solutions:
- Use
${VAR}syntax, not$VAR - Export variable:
export VAR=value - Variable names are case-sensitive
- Check for typos in variable name
Configuration Errors
Problem: Server missing 'description' field
Solutions:
- Every MCP server in your config must have a
descriptionfield - The description explains what the server does to the LLM
- Example:
{ "description": "File system access - read, write, and search files", "command": "npx", "args": ["@modelcontextprotocol/server-filesystem"] }
Problem: Invalid JSON in config file
Solutions:
- Validate JSON syntax (use
jq . config.json) - Check for trailing commas
- Ensure all required fields are present (
descriptionis always required;typeis required only for http/sse servers)
Problem: Unknown field in config (e.g., unknown field \typo_field``)
Solutions:
- dynamic-mcp uses strict JSON schema validation that only allows defined fields
- Check for typos in field names:
description,command,url,type,args,env,headers,oauth_client_id,oauth_scopes,features - Remove any extra or misspelled fields from your config
- Refer to the schema examples above to see valid fields for each server type
Problem: Failed to resolve config path
Solutions:
- Use an absolute path or a path relative to the working directory
- Check that the file exists and has read permissions
- Try:
ls -la <config-path>
Tool Call Failures
Problem: Tool call returns error
Debugging:
- Test the tool directly with the upstream server
- Check that the tool name and arguments match the schema
- Verify the group name is correct
- Enable debug logging to see JSON-RPC messages
Performance Issues
Problem: Slow startup
Solutions:
- Parallel connections already enabled
- Check network latency for HTTP/SSE servers
- Some servers may be slow to initialize (normal)
Problem: High memory usage
Solutions:
- Tools are cached in memory (expected)
- Failed groups use minimal memory
- Large tool schemas contribute to memory usage
Building from source
Rust Binary
To build the Rust binary directly:
git clone https://github.com/asyrjasalo/dynamic-mcp.git
cd dynamic-mcp
cargo build --release
The binary is then available at ./target/release/dmcp.
Python Package
To build the Python package (wheel):
# Build wheel
uvx maturin build --release
# Install locally
pip install target/wheels/dmcp-*.whl
The Python package uses maturin with bindings = "bin" to compile the Rust binary directly into the wheel.
Contributing
For instructions on development setup, testing, and contributing, see CONTRIBUTING.md.
Release History
See CHANGELOG.md for version history and release notes.
Acknowledgments
- TypeScript implementation: modular-mcp
- MCP Specification: Model Context Protocol
- Rust MCP Ecosystem: rust-mcp-stack