About Tracelattice
Tracelattice is an MCP server in the Agents category: semantic Sequential Thinking Layer For Agentic Tools. It has been installed 0 times through Conduid.
Install
claude mcp add tracelattice -- npx -y tracelatticenpx -y tracelatticeThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
TraceLattice
An MCP server that gives AI agents structured sequential thinking. Thoughts live in a DAG, reasoning strategies are pluggable, and confidence scores get calibrated against actual outcomes.
Features
- 11 thought types: regular, hypothesis, verification, critique, synthesis, meta, tool_call, tool_observation, assumption, decomposition, backtrack
- DAG-based thought graph with 8 edge kinds (sequence, branch, merge, verifies, critiques, derives_from, tool_invocation, revises) and topological traversal
- Pluggable reasoning strategies. Sequential by default, or Tree-of-Thought with BFS/beam search and plateau detection
- Tool interleave: suspend a thinking chain, run a tool call, then resume where you left off
- Confidence calibration using Beta(2,2) priors, Brier score, and Expected Calibration Error (ECE)
- Branch compression: cold branches get rolled into summaries automatically, with a sliding-window dehydration policy
- Outcome recording for tool_call/tool_observation results with metadata
- Tool and skill recommendations with confidence scores, rationales, and automatic discovery
- Per-session isolation with TTL eviction and LRU caching
- Three transports: stdio (default), SSE (legacy), Streamable HTTP (production)
- Strict TypeScript, Valibot validation, 1913 tests, 18-service DI container
Install
Requires Node.js v22+.
npm install -g tracelattice
Configure your MCP client
The default transport is stdio. Add the server to your client:
Claude Code
User-scoped (~/.claude.json) or project-scoped (.mcp.json in project root):
{
"mcpServers": {
"tracelattice": {
"command": "tracelattice"
}
}
}
Or via CLI:
claude mcp add tracelattice -- tracelattice
Codex CLI
User-scoped (~/.codex/config.toml) or project-scoped (.codex/config.toml):
[mcp_servers.tracelattice]
command = "tracelattice"
Or via CLI:
codex mcp add tracelattice -- tracelattice
OpenCode
Global (~/.config/opencode/opencode.json) or project-scoped (.opencode.json):
{
"mcpServers": {
"tracelattice": {
"type": "local",
"command": [
"npx",
"-y",
"tracelattice"
],
"enabled": true,
"environment": {
"MAX_HISTORY_SIZE": "10000"
}
}
}
Configuration
Server
| Variable | Default | Description |
|---|---|---|
MAX_HISTORY_SIZE |
1000 |
Maximum thoughts to keep in history |
MAX_BRANCHES |
50 |
Maximum number of branches |
MAX_BRANCH_SIZE |
100 |
Maximum size of each branch |
LOG_LEVEL |
info |
Log level: debug, info, warn, error |
PRETTY_LOG |
true |
Enable pretty log output |
Feature flags
All flags default to false. Set to true or 1 to enable.
| Variable | Description |
|---|---|
TRACELATTICE_FEATURES_DAG_EDGES |
Enable DAG edges for thought relationships |
TRACELATTICE_FEATURES_CALIBRATION |
Enable confidence calibration with Beta(2,2) priors |
TRACELATTICE_FEATURES_COMPRESSION |
Enable branch compression for cold branches |
TRACELATTICE_FEATURES_TOOL_INTERLEAVE |
Enable suspend/resume for tool calls |
TRACELATTICE_FEATURES_NEW_THOUGHT_TYPES |
Enable tool_call, tool_observation, assumption, decomposition, backtrack |
TRACELATTICE_FEATURES_OUTCOME_RECORDING |
Enable outcome recording for tool results |
TRACELATTICE_FEATURES_REASONING_STRATEGY |
Strategy: sequential (default) or tot |
Transport
| Variable | Default | Description |
|---|---|---|
TRANSPORT_TYPE |
stdio |
Transport: stdio, sse, or streamable-http |
STREAMABLE_HTTP_PORT |
3000 |
Port for Streamable HTTP server |
STREAMABLE_HTTP_HOST |
localhost |
Host for Streamable HTTP server |
STREAMABLE_HTTP_STATEFUL |
true |
Enable stateful session tracking |
SSE_PORT |
3000 |
Port for SSE server |
SSE_HOST |
localhost |
Host for SSE server |
SSE_ENABLE_POOL |
true |
Enable connection pool for session isolation |
SSE_MAX_SESSIONS |
100 |
Maximum concurrent SSE sessions |
SSE_SESSION_TIMEOUT |
300000 |
SSE session timeout (ms) |
CORS_ORIGIN |
* |
CORS origin |
ENABLE_CORS |
true |
Enable CORS preflight |
ALLOWED_HOSTS |
(all) | Comma-separated allowed hosts |
Skill discovery
| Variable | Default | Description |
|---|---|---|
SKILL_DIRS |
(none) | Colon-separated skill directories |
DISCOVERY_CACHE_TTL |
300000 |
Discovery cache TTL (ms) |
DISCOVERY_CACHE_MAX_SIZE |
100 |
Discovery cache max entries |
Transports
Set TRANSPORT_TYPE to pick one:
| Transport | When to use | Command |
|---|---|---|
stdio (default) |
Local MCP clients | tracelattice |
sse (legacy) |
Multi-user setups, backwards compatibility | TRANSPORT_TYPE=sse tracelattice |
streamable-http |
Production deployments | TRANSPORT_TYPE=streamable-http tracelattice |
Development
npm install
npm run dev # MCP inspector
npm test # 1913 tests (vitest)
npm run test:coverage # with coverage report
npm run type-check # tsc --noEmit
npm run lint # eslint
npm run build # rslib + rsbuild
Architecture
src/
├── core/ # Domain logic
│ ├── graph/ # DAG edges: Edge, EdgeStore, GraphView
│ ├── evaluator/ # SignalComputer, Aggregator, PatternDetector, Calibrator
│ ├── compression/ # CompressionService, DehydrationPolicy, SummaryStore
│ ├── reasoning/ # OutcomeRecorder + strategies (Sequential, TreeOfThought)
│ └── tools/ # InMemorySuspensionStore (suspend/resume)
├── contracts/ # Shared interfaces (cross-module coupling point)
├── persistence/ # File, SQLite, Memory backends
├── transport/ # stdio, SSE, Streamable HTTP
├── di/ # IoC container (18 services)
├── registry/ # Tool/Skill discovery with LRU cache
└── config/ # YAML + env var loading
License
MIT
README mirrored from the source repository 4 months ago. The original is authoritative.