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MCP server · Agents

Tracelattice

Semantic Sequential Thinking Layer For Agentic Tools

37Low

Scored 4 months ago · breakdown

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 Code
claude mcp add tracelattice -- npx -y tracelattice
npx
npx -y 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 mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Tracelattice

How do I install Tracelattice?

Run claude mcp add tracelattice -- npx -y tracelattice, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Tracelattice safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Tracelattice still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.