Agentic Ledger
Local-first flight recorder for AI agents: sessions, costs, loop runs, and stuck-loop flags.
Connector by ShekharBhardwaj · GitHub account verified by the MCP Registry
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Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.
- Tools
- 6 read · 0 write · 0 deleteRead-only
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 6
Read from the source code; the running server may list different tools.
Read 6 · Look things up without changing anything.
explainget_run_statusget_sessionlist_runslist_sessionssearch
Network hosts it talks to 15
agentic-ledger.dev· found in codeai.google.dev· found in codeanthropic.com· found in codeapi.anthropic.com· found in codeapi.github.com· found in codeapi.openai.com· found in codegithub.com· found in codeglama.ai· found in codehost.docker.internal· found in codeledger.test· found in codeopenrouter.ai· found in codeopentelemetry.io· found in codeplatform.openai.com· found in coderaw.githubusercontent.com· found in codeupstream.loadtest· found in code
Files it touches
/home/opt/homebrew/tmp/agenticledger-smoke.db/Users/user/usr/local/Cellar- Your home directory (~)
Tools (6)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
explainRetrieve the full captured trace for a single LLM call. Returns the prompt, system prompt, tool calls, model response, token usage, cost, and latency.
get_run_statusStatus of one loop run: iterations so far, total cost and tokens, flagged calls, and whether the completion promise was seen (status=complete). Loop runners and agents can use this to decide whether to continue iterating.
get_sessionRetrieve the LLM calls of an agent session in chronological order. By default each call is a compact summary (index, model, status, error reason, tokens, cost, latency, tool names, sizes) — sessions can be megabytes, so full prompt/response bodies are returned only with include_messages=true, and single calls are better fetched via the explain tool using the action_id from a summary row.
list_runsList loop runs (explicit x-agenticledger-run-id or auto-inferred fresh-context loops, e.g. Ralph overnight runs) with iterations, sessions, cost, flagged-call counts, and status (running / flagged / complete).
list_sessionsList recent agent sessions with aggregated stats — call count, total cost, token usage, and start time. Use this to find a session_id before calling get_session or to get a cost overview.
searchFull-text search across all captured LLM calls. Searches prompts, outputs, system prompts, agent names, and user IDs. Use this to find calls related to a topic, error, or agent.
Signals
- Stars
- 7
- Forks
- 3
- Open issues
- 21
- Weekly downloads
- 117
- Last commit
- Oct 24, 2026 (6 days ago)
- Last release
- Sep 28, 2026 (1 month ago)
- Last package publish
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.ShekharBhardwaj/agentic-ledger- Version
- 0.15.0
- Auth
- No auth
- Packages
- pypi agentic-ledger
- License
- MIT
- Repository
- github.com/ShekharBhardwaj/AgenticLedger
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Cite this page
Agentic Ledger MCP server. Agent Mart. https://agentmart.dev/connectors/shekharbhardwaj-agentic-ledger (last updated 2026-10-24)