opampserver-mcp
Enables managing OpAMP agents via natural language, allowing listing agents, viewing details, and setting or deleting configuration overrides.
README
opampserver
A Python implementation of an OpAMP (Open Agent Management Protocol) server, built on FastAPI and the official protobuf message definitions from open-telemetry/opamp-spec. It supports both transports the spec defines (WebSocket and plain HTTP) on a single endpoint, and covers status reporting, remote config delivery, and health reporting.
Feature scope
Implemented:
ReportsStatus— sequence-number tracking and gap detection (asks the agent to resend full state viaReportFullStatewhen a gap is detected)- Remote config delivery (
AcceptsRemoteConfig/ReportsEffectiveConfig/ReportsRemoteConfig) — config is resolved per-agent from YAML templates or a per-instance override, and only re-sent when its hash differs from what the agent has already applied ReportsHealth— parses and storesComponentHealth, including nested sub-component health- Partial/compressed status messages — fields the agent omits (per the spec's status-compression rules) don't overwrite previously known values
- A small admin REST API for operators (list agents, inspect one — with optional decoded config — set/clear a per-instance config override; pushed immediately if the agent is connected over WebSocket)
Out of scope for v1 (candidates for future work):
- Package/binary updates (
AcceptsPackages,PackagesAvailable) - Connection-settings management and the certificate/CSR flow
(
AcceptsOpAMPConnectionSettings, TOFU, agent-initiated CSR signing) ServerToAgentCommand(restart), custom messages/capabilities,ReportsAvailableComponents, heartbeat handling
Project layout
opampserver/
proto/ # vendored opamp-spec .proto files + generated protobuf stubs
models.py # protobuf <-> plain-dict conversion helpers
connection.py # Connection abstraction (WebSocket vs. one-shot HTTP) + ConnectionManager
registry.py # per-message bookkeeping: sequence gaps, instance_uid assignment, merging
config_engine.py # remote config resolution (templates + overrides) and hash-diffing
health.py # ComponentHealth tree summarization
pipeline.py # shared registry -> config-engine processing used by both transports
storage/
schema.sql # SQLite schema (agents, agent_configs)
repository.py # async SQLite repository
transport/
http.py # plain-HTTP transport (gzip, content-type, size limits)
ws.py # WebSocket transport
admin_api.py # operator-facing REST API
app.py # FastAPI app wiring
main.py # uvicorn entrypoint
opampserver_mcp/ # standalone MCP server exposing the admin API as LLM tools
client.py # async httpx client for the admin API + error mapping
server.py # FastMCP server with the 4 tools
main.py # CLI entrypoint (opampserver-mcp)
scripts/gen_proto.sh # regenerates protobuf stubs from the vendored .proto sources
config/templates.yaml # default/group remote-config templates
tests/ # unit + integration tests
Setup
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
If you bump the pinned open-telemetry/opamp-spec commit in scripts/gen_proto.sh, re-run it to
regenerate the protobuf stubs:
bash scripts/gen_proto.sh
Running the server
uvicorn opampserver.app:app --host 127.0.0.1 --port 4320
# or: python -m opampserver.main
Bind to 127.0.0.1 explicitly if another process (e.g. Docker) is already listening on
port 4320 over IPv6 — otherwise curl http://localhost:4320/... may hit the wrong listener
while agents using 127.0.0.1 reach this server fine.
The server listens for both HTTP POST and WebSocket connections on /v1/opamp. By default it
stores agent state in opampserver.sqlite3 and loads remote config templates from
config/templates.yaml (both relative to the working directory); override either with:
OPAMPSERVER_DB_PATH=/path/to/state.sqlite3 \
OPAMPSERVER_CONFIG_PATH=/path/to/templates.yaml \
uvicorn opampserver.app:app --port 4320
Trying it out
Point a real agent at it — e.g. an OpenTelemetry Collector with the opamp extension configured
against ws://localhost:4320/v1/opamp — or send a raw HTTP request with a serialized
AgentToServer protobuf message and Content-Type: application/x-protobuf.
Admin API
The admin API has no authentication. Bind the server to 127.0.0.1 for local use only,
or place it behind your own auth/proxy if exposed beyond localhost.
Read-only endpoints return agent state from SQLite. Config file bodies are base64-encoded
(body_b64) by default; pass ?decode=true to get plain-text body instead (UTF-8, with
invalid bytes replaced).
| Method | Path | Description |
|---|---|---|
GET |
/api/agents |
List all known agents |
GET |
/api/agents/{instance_uid} |
Get one agent |
PUT |
/api/agents/{instance_uid}/config |
Set a per-instance config override |
DELETE |
/api/agents/{instance_uid}/config |
Clear the override |
Query parameters for GET:
decode(bool, defaultfalse) — whentrue, replacebody_b64with decodedbodyineffective_config.
Examples:
# List instance UIDs only
curl -s http://127.0.0.1:4320/api/agents | jq -r '.[].instance_uid'
# Full agent record (config still base64)
curl -s http://127.0.0.1:4320/api/agents/<instance_uid>
# Human-readable effective config (OTel Collector uses "" as the config key)
curl -s "http://127.0.0.1:4320/api/agents/<instance_uid>?decode=true" \
| jq -r '.effective_config[""].body'
# Push a per-instance override (body is plain text in the request)
curl -X PUT http://127.0.0.1:4320/api/agents/<instance_uid>/config \
-H "Content-Type: application/json" \
-d '{"files": {"config.yaml": {"body": "receivers:\n otlp: {}\n", "content_type": "text/yaml"}}}'
# Remove override (agent falls back to template on next poll)
curl -X DELETE http://127.0.0.1:4320/api/agents/<instance_uid>/config
Use 127.0.0.1 rather than localhost when testing from the same machine if port 4320 is
shared with another IPv6 listener.
MCP server
opampserver_mcp/ is a standalone MCP server that exposes
the admin API as tools for LLM clients (Claude Code, Claude Desktop, or any MCP-capable client).
It's a separate process that talks to the OpAMP server over its REST API — no changes to, or
imports from, the opampserver package.
Tools: list_agents (compact summaries), get_agent (full detail, config decoded by default),
set_agent_config (validates YAML client-side before pushing; reports whether the config was
delivered immediately over WebSocket), delete_agent_config (agent falls back to templates).
Install and run (the OpAMP server must be running):
pip install -e ".[mcp]"
# stdio transport (default — for local clients that spawn the server)
opampserver-mcp
# streamable HTTP transport — endpoint at http://127.0.0.1:4321/mcp
opampserver-mcp --transport http --port 4321
# point at a non-default OpAMP server
opampserver-mcp --opamp-url http://otherhost:4320
Flags have env-var equivalents: OPAMP_MCP_TRANSPORT, OPAMP_BASE_URL, OPAMP_MCP_HOST,
OPAMP_MCP_PORT.
Register in Claude Code:
# stdio
claude mcp add opamp -- /path/to/confOpAmpMCP/.venv/bin/opampserver-mcp
# or HTTP (start opampserver-mcp --transport http first)
claude mcp add --transport http opamp http://127.0.0.1:4321/mcp
Register in Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"opamp": {
"command": "/path/to/confOpAmpMCP/.venv/bin/opampserver-mcp"
}
}
}
Example prompts once connected: "List all OpAMP agents and their health", "Show the effective
config for the agent named otelcol", "Push a config to agent <uid> that enables the OTLP gRPC
receiver", "Reset agent <uid> back to the template config".
Testing
pytest -q
32 tests cover: AgentRegistry sequence-gap detection and partial-message merging, config-engine
template/group/override resolution and hash-diffing, health-tree summarization, admin API decode
flag behavior, full integration round trips over both HTTP and WebSocket (including a live
admin-triggered config push), and the MCP server tools (invoked through a real in-memory MCP
client session against the in-process FastAPI app).
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。