aimdb-mcp
Official# aimdb-mcp
[](https://glama.ai/mcp/servers/aimdb-dev/aimdb)
Model Context Protocol (MCP) server for AimDB - enables LLM-powered introspection and debugging.
## Overview
`aimdb-mcp` provides an MCP server implementation that enables Large Language Models (like Claude, GPT-4, etc.) to interact with running AimDB instances for introspection, debugging, and monitoring.
**Key Features:**
- **LLM-Powered**: Natural language queries to AimDB instances
- **Auto-Discovery**: Automatically finds running AimDB servers
- **Schema Inference**: Infers JSON schemas from record values
- **Architecture Agent**: Propose, validate, and apply schema/topology changes from natural language
- **Rich Toolset**: 30 tools covering introspection, record ops, the dependency graph, metrics/profiling, and architecture editing
- **VS Code Integration**: Works seamlessly with GitHub Copilot
## Architecture
```
┌──────────────────────────────┐
│ LLM Host (VS Code/Claude) │
│ - Natural language queries │
│ - Tool invocations │
└──────────────┬───────────────┘
│ stdio (JSON-RPC 2.0)
▼
┌──────────────────────────────┐
│ aimdb-mcp Server │
│ - Protocol translation │
│ - Tool implementations │
│ - Schema inference │
└──────────────┬───────────────┘
│ aimdb-client
▼
┌──────────────────────────────┐
│ AimDB Instances │
│ (Unix domain sockets) │
└──────────────────────────────┘
```
## Quick Start
### Installation
Build from source:
```bash
cd /aimdb
cargo build --release -p aimdb-mcp
```
Binary will be at `target/release/aimdb-mcp`.
### VS Code Configuration
Add `.vscode/mcp.json` to your workspace:
```json
{
"servers": {
"aimdb": {
"type": "stdio",
"command": "/path/to/aimdb-mcp",
"args": [],
"env": {
"RUST_LOG": "info"
}
}
}
}
```
**Note:** VS Code will automatically detect and load MCP servers from `.vscode/mcp.json`.
### Claude Desktop Configuration
Add to `claude_desktop_config.json`:
```json
{
"mcpServers": {
"aimdb": {
"command": "/path/to/aimdb-mcp",
"args": []
}
}
}
```
### Choosing the Target Instance
Every tool that talks to an instance takes an optional `endpoint` argument — a
`scheme://` URL that selects the transport at runtime:
| Endpoint | Transport |
|---|---|
| `unix:///tmp/aimdb.sock` / `uds:///tmp/aimdb.sock` | Unix domain socket |
| `/tmp/aimdb.sock` (bare path) | Unix domain socket (the `unix://` shorthand) |
| `serial:///dev/ttyACM0?baud=115200` | Serial/UART (requires the `transport-serial` build feature) |
When a tool's `endpoint` is omitted, the server resolves it in this order:
1. The tool's explicit `endpoint` argument
2. The `--connect <ENDPOINT>` startup flag
3. The `AIMDB_CONNECT` environment variable
This lets you pin a single instance once at startup so the LLM never has to pass a
path. Pass it as a flag:
```json
{
"mcpServers": {
"aimdb": {
"command": "/path/to/aimdb-mcp",
"args": ["--connect", "unix:///tmp/aimdb-demo.sock"]
}
}
}
```
…or via the environment:
```json
{
"mcpServers": {
"aimdb": {
"command": "/path/to/aimdb-mcp",
"args": [],
"env": { "AIMDB_CONNECT": "unix:///tmp/aimdb-demo.sock" }
}
}
}
```
In `--public` mode any client-supplied `endpoint` is stripped, so tools fall back
to the server-pinned `--connect` / `AIMDB_CONNECT` and clients cannot probe
arbitrary paths on the host.
The serial transport is **off by default** (it pulls `tokio-serial` → libudev on
Linux); build with `cargo build -p aimdb-mcp --features transport-serial` to dial
`serial://` endpoints.
### Test Server
Start the example server:
```bash
cd /aimdb/examples/remote-access-demo
cargo run
```
This creates an instance at `/tmp/aimdb-demo.sock` with sample records.
## Demo
> 🎬 **Demo video coming soon** - showing natural language queries via GitHub Copilot
<!-- TODO: Add GIF/video showing:
1. Starting demo server
2. Asking Copilot "What AimDB instances are running?"
3. Asking "What's the current temperature?"
4. Draining a record for trend analysis
Suggested location: assets/aimdb-mcp-demo.gif
Usage: 
-->
## Available Tools
30 tools in total: 14 introspection & operations tools (below) and 16
architecture-agent tools (see [Architecture Agent Tools](#architecture-agent-tools)).
In `--public` mode only `discover_instances`, `list_records`, and `get_record` are
advertised.
### 1. discover_instances
Find all running AimDB instances:
```
Query: "What AimDB instances are running?"
Result: Lists socket paths, versions, and record counts
```
### 2. get_instance_info
Get detailed information about a specific instance:
```
Query: "Show me details about /tmp/aimdb-demo.sock"
Result: Server version, protocol, permissions, capabilities
```
### 3. list_records
List all records in an instance:
```
Query: "What records are in the demo instance?"
Result: Record names, types, buffer configs, producer/consumer counts
```
### 4. get_record
Get current value of a record:
```
Query: "What's the current temperature?"
Result: JSON value of server::Temperature record
```
### 5. set_record
Set value of a writable record:
```
Query: "Set the config log_level to debug"
Action: Updates server::Config record
```
### 6. query_schema
Infer JSON schema from record values:
```
Query: "What's the schema of the Temperature record?"
Result: JSON Schema with types, required fields, and example
```
### 7. drain_record
Drain all values accumulated since the last drain (a destructive batch read):
```
Query: "Drain the temperature buffer and analyze the trend"
Result: Values in chronological order; the first call is a cold start (empty)
```
### 8. graph_nodes
List all nodes in the dependency graph:
```
Query: "Show me the record graph nodes"
Result: Per-record origin (source/link/transform/passive), buffer config, and edge counts
```
### 9. graph_edges
List the directed edges (data flow) between records:
```
Query: "How does data flow between records?"
Result: Directed edges from sources through transforms to consumers
```
### 10. graph_topo_order
Show the topological (spawn/initialization) order of records:
```
Query: "What order are records initialized in?"
Result: Record keys ordered so dependencies precede their dependents
```
### 11. get_stage_profiling
Show automatic per-stage timing — how long each `.source()` / `.tap()` / `.link()`
callback takes (wall-clock, including `.await` / I/O / sleeps) — for records
matching a key, and flag the slowest stage. Requires the target instance to be
built with the `profiling` feature; otherwise records carry no profiling data.
```
Query: "Which stage of my Temperature pipeline is the bottleneck?"
Result: Per-stage call_count / avg / min / max (ns) plus a "bottleneck" pointing
at the stage with the highest average time, with a recommendation string.
```
Stage names come from `.with_name("...")` on the registrar; unnamed stages show as
`source[0]`, `tap[0]`, etc.
### 12. reset_stage_profiling
Reset stage profiling counters for every record on the target instance (requires
write permission and the `profiling` feature). Useful for windowed measurements.
```
Query: "Reset the stage profiling counters."
Result: { "reset": true }
```
### 13. get_buffer_metrics
Return live buffer introspection counters
(`produced_count` / `consumed_count` / `dropped_count` / `occupancy`) for records
matching a key. Requires the target instance to be built with the `metrics`
feature; otherwise records carry no buffer metrics.
```
Query: "What's the producer/consumer lag on my Temperature buffer?"
Result: Per-record produced/consumed/dropped counts and current (used, capacity).
```
### 14. reset_buffer_metrics
Reset buffer introspection counters for every record on the target instance
(requires write permission and the `metrics` feature). Useful for windowed
measurements.
```
Query: "Reset the buffer metrics counters."
Result: { "reset": true }
```
## Architecture Agent Tools
Beyond live introspection, the server exposes an **architecture agent** for
designing and editing an AimDB topology from natural language. It reads/writes
`.aimdb/state.toml` and, on confirmation, generates Mermaid and Rust artefacts.
These tools are not available in `--public` mode.
The editing tools follow a **propose → resolve** flow: a `propose_*` /
`remove_*` / `rename_record` call creates a *pending proposal* (shown to the user),
which `resolve_proposal` then confirms, rejects, or revises.
| Tool | Purpose |
|---|---|
| `get_architecture` | Return current state from `.aimdb/state.toml` (record count, validation summary, decision-log length). Run first when starting a session. |
| `validate_against_instance` | Compare `state.toml` to a live instance; report missing records, buffer/capacity mismatches, and connector diffs. |
| `propose_add_record` | Propose a new record (explicit, typed fields). |
| `propose_modify_buffer` | Propose changing a record's buffer type / capacity. |
| `propose_add_connector` | Propose adding a connector (MQTT, KNX, …) to a record. |
| `propose_modify_fields` | Propose replacing a record's value-struct fields (all fields). |
| `propose_modify_key_variants` | Propose updating a record's key variants. |
| `propose_add_task` | Propose a new task definition. |
| `propose_add_binary` | Propose a new binary definition. |
| `remove_task` | Propose removing a task. |
| `remove_binary` | Propose removing a binary (task definitions are preserved). |
| `remove_record` | Propose removing a record. |
| `rename_record` | Propose renaming a record (renames the generated key enum + value struct). |
| `resolve_proposal` | Confirm / reject / revise a pending proposal; on confirm writes `state.toml` and regenerates artefacts. |
| `save_memory` | Persist ideation context and rationale to `.aimdb/memory.md`. |
| `reset_session` | Discard pending proposals and start over. |
## Schema Inference
The MCP server can infer JSON schemas from record values:
```json
// Record value
{
"celsius": 23.5,
"sensor_id": "sensor-001",
"timestamp": 1730379296
}
// Inferred schema
{
"type": "object",
"properties": {
"celsius": { "type": "number" },
"sensor_id": { "type": "string" },
"timestamp": { "type": "integer" }
},
"required": ["celsius", "sensor_id", "timestamp"]
}
```
**Limitations:**
- Best-effort inference from current value
- May not capture full type constraints
- Nullable fields require multiple samples
- Ask user for clarification on ambiguous cases
## Resources
The server exposes two families of resources. Instance resources are discovered
by scanning for Unix sockets, so their URIs are keyed by socket path:
- `aimdb://instances` — list of all discovered instances
- `aimdb://instance/{socket_path}` — details about a specific instance
- `aimdb://{socket_path}/records` — all records in an instance
Architecture resources expose the `.aimdb/` design state used by the architecture
agent:
- `aimdb://architecture` — architecture overview
- `aimdb://architecture/state` — full `state.toml` as JSON
- `aimdb://architecture/conflicts` — conflicts vs. a live instance
- `aimdb://architecture/conventions` — naming/design conventions
- `aimdb://architecture/memory` — persisted ideation context (`memory.md`)
## Prompts
The server provides 4 helper prompts (not available in `--public` mode):
- `architecture_agent` — drive the propose → resolve design workflow
- `onboarding` — introduction and common usage patterns
- `breaking_change_review` — review the impact of a proposed schema change
- `troubleshooting` — guided diagnostics for connection/record issues
## Protocol Details
### Transport
- **stdio**: JSON-RPC 2.0 over standard input/output
- **Format**: NDJSON (newline-delimited JSON)
### Capabilities
- **Tools**: ✓ (30 tools; only 3 advertised in `--public` mode)
- **Resources**: ✓ (instances + architecture families)
- **Prompts**: ✓ (4 prompts)
- **Sampling**: ✗ (not supported)
- **Logging**: ✓ (stderr)
### Message Flow
```
Client → Server: initialize request
Client ← Server: initialize response
Client → Server: tools/list request
Client ← Server: tool definitions
Client → Server: tools/call (discover_instances)
Client ← Server: tool result
Client → Server: resources/read (aimdb://instances)
Client ← Server: resource content
```
## Usage Examples
### Health Check
```
User: "Check the health of all AimDB instances"
LLM:
1. discover_instances() → finds instances
2. For each: get_instance_info() → checks status
3. Reports: healthy/unhealthy with details
```
### Record Exploration
```
User: "What data is available in the demo instance?"
LLM:
1. list_records(/tmp/aimdb-demo.sock) → gets record list
2. For interesting records: get_record() → shows values
3. query_schema() → explains structure
4. Summarizes available data types
```
### Data Monitoring
```
User: "Monitor temperature and analyze the trend"
LLM:
1. drain_record(server::Temperature) # cold start — creates the reader, returns empty
2. drain_record(server::Temperature) # later: returns values accumulated since last drain
3. Analyzes: min, max, avg, trends, anomalies
4. Generates report
```
### Configuration Update
```
User: "Set the log level to debug"
LLM:
1. list_records() → finds writable config record
2. get_record(server::Config) → sees current value
3. set_record(server::Config, {"log_level": "debug", ...})
4. Confirms change
```
## Error Handling
The MCP server provides clear error messages:
```
Error: Connection failed: /tmp/aimdb.sock
Reason: No such file or directory
Hint: Check if AimDB instance is running
```
```
Error: Permission denied
Record 'server::Temperature' is not writable
Hint: Only records without producers can be set
```
## Development
### Building
```bash
cargo build -p aimdb-mcp
```
### Testing
```bash
# Unit tests
cargo test -p aimdb-mcp
# Integration test (requires running instance)
cargo run --example remote-access-demo # Terminal 1
cargo test -p aimdb-mcp --test integration # Terminal 2
```
### Debugging
Enable debug logging:
```bash
RUST_LOG=debug aimdb-mcp
```
Logs go to stderr, keeping stdio clean for MCP protocol.
### Adding Tools
1. Define tool in `tools.rs`:
```rust
pub fn my_new_tool() -> Tool {
Tool {
name: "my_tool".to_string(),
description: "Does something useful".to_string(),
input_schema: json!({ /* ... */ }),
}
}
```
2. Implement handler in `server.rs`:
```rust
"my_tool" => {
let result = handle_my_tool(params).await?;
// Return result
}
```
3. Add to tool list in `list_tools()`.
## Security Considerations
### Authentication
- Currently no authentication required
- Unix socket permissions control access
- Future: Token-based auth planned
### Permissions
- Read-only by default (list, get, drain, graph)
- Write operations (set) require writable records
- Architecture-editing tools are disabled in `--public` mode
- No shell access or arbitrary code execution
### Data Privacy
- Architecture state (`.aimdb/`) is stored locally
- No network communication
- All data stays on local machine
## Performance
- **Tool latency**: < 10ms for local operations
- **Memory usage**: ~5MB base
- **Concurrent connections**: Single-threaded stdio
## Troubleshooting
### Server not responding
1. Check if MCP server is running:
```bash
ps aux | grep aimdb-mcp
```
2. Test stdio manually:
```bash
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' | aimdb-mcp
```
### Can't find instances
1. Check socket paths:
```bash
ls /tmp/*.sock /var/run/aimdb/*.sock
```
2. Verify permissions:
```bash
stat /tmp/aimdb-demo.sock
```
## References
- **MCP Specification**: https://spec.modelcontextprotocol.io/
- **AimX Protocol**: `docs/design/008-M3-remote-access.md`
- **Schema Design**: `docs/design/011-M4-schema-query.md`
## License
See [LICENSE](../../LICENSE) file.
TDQS
Scored across 30 tools
Most tools target clearly distinct runtime or architecture actions, such as get_record vs. drain_record vs. set_record. The proposal tools are mostly well separated, though propose_add_record, propose_modify_fields, and propose_modify_key_variants can overlap for record-definition edits, requiring description-level reading to choose correctly.
The set is overwhelmingly snake_case and most names follow a verb_noun pattern like get_record, set_record, and propose_add_task. Minor deviations exist: graph_nodes/graph_edges/graph_topo_order are noun-first, and remove_task/rename_record behave like proposals but lack the propose_ prefix used elsewhere.
With 30 tools, the server is heavy for an agent tool surface and splits attention across runtime inspection, graph analysis, profiling, and architecture proposals. The tools are not redundant, but the count is high enough that selection pressure and prompt load become concerns.
The surface covers runtime discovery, reads/writes, schema, metrics, profiling, graph topology, validation, and a broad architecture proposal lifecycle. A few gaps remain, such as no explicit remove_connector or modify_task/binary operation, but agents can likely work around them through adjacent proposals.