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MCP server · Agents

Tracelattice

Semantic Sequential Thinking Layer For AI Agents.

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Scored 5 days ago · breakdown

About Tracelattice

Tracelattice is an MCP server in the Agents category: semantic Sequential Thinking Layer For AI Agents.

The repository has 6 stars and 0 forks, with the last commit 15 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

Claude Code
claude mcp add tracelattice -- npx -y @iworkforces/tracelattice
npx
npx -y @iworkforces/tracelattice

This 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

npm version

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 copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Tracelattice

How do I install Tracelattice?

Run claude mcp add tracelattice -- npx -y @iworkforces/tracelattice, then add the server to your MCP client's configuration.

Is Tracelattice safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Tracelattice still maintained?

Yes — the last commit was 15 days ago. The repository has 6 stars and 0 forks.