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  1. Home
  2. 🧬 Biology & Bioinformatics
  3. Seshat MCP
S
Health: ActiveRecent health check succeeded.Last checked 10/13/2026, 8:47:57 PM

Seshat MCP

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View RepositoryVisit Website
code-intelligencedeveloper-toolscode-analysismcp

Maps repositories into a typed code graph for call-chain analysis, blast-radius checks, data flow, and change-history queries.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "seshat-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@papyruslabsai/seshat-mcp"
      ],
      "env": {
        "SESHAT_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (15) Directory Badge Claim listing Alternatives🧬 More in Biology & Bioinformatics

Overview

The seshat-mcp MCP server compiles a repository into a typed symbol graph and exposes structural code intelligence through MCP. Agents can inspect modules, symbols, callers, callees, data flow, database-table usage, entry points, and the likely impact of changes. It also analyzes call-site states and repository history, including hotspots and code that changes together. Reach for it when an agent needs verified repository structure before editing code rather than relying on text search or embeddings.

Use cases

•Trace callers before changing a shared function
•Estimate the transitive impact of a code change
•Find unawaited or error-prone asynchronous calls
•Select relevant files before an agent edits code
•Review historical hotspots and co-change patterns

Key features

•Typed repository symbol graph
•Call-chain and blast-radius analysis
•Data-flow and table-usage queries
•Per-call-site async and error-state checks
•Function lineage and hotspot history
•Ranked editing context recommendations

Capabilities & Tool Schemas (15) ~255 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Seshat MCP.

list_projects

what is synced

list_modules

how the codebase is organized, by layer or module

query_entities

find functions, classes, and routes by name, layer, or module

find_entry_points

routes, exports, and the public API surface

get_entity

signature, callers, callees, data flow, side effects, and tables touched

get_dependencies

the real call chain, callers and callees

How Seshat MCP works

What seshat-mcp MCP server does

The seshat-mcp MCP server turns a repository into a compiled representation of its code structure. The graph covers functions, classes, routes, tables, dependency edges, data flow, constraints, and selected history signals. Agents can use that representation to understand how a symbol is used, what a change may affect, and which files are most relevant before making an edit.

The server is intended for repository investigation rather than general file search. It can identify public entry points, locate entities by name or organizational attributes, trace callers and callees, and report symbols that appear unreachable. Its answers include coverage information, and its history analysis describes commit-resolution correlation without presenting correlation as causation.

How it works

A repository is synchronized into the service and compiled into a typed symbol graph. The agent then queries that graph through MCP tools. Public repositories are cloned from GitHub; private repositories require a connected GitHub account. Source is processed in Papyrus Labs cloud infrastructure, where the graph is cached for subsequent queries.

The workflow can start with project and module discovery, continue with symbol or entry-point queries, and then move into dependency, data-flow, or blast-radius analysis. For JavaScript, TypeScript, and Python call sites, the server can distinguish states such as unawaited asynchronous calls, promises used as conditions, failures without surrounding error handling, and dropped results.

History data comes from the repository’s commit record and is backfilled during the first synchronization. Lineage describes changes to a function’s body, calls, signature, or data, along with CI outcomes, reverts, related changes, and the last recorded change that forced an update. Hotspot and co-change queries provide additional historical context.

Setup and configuration

Installation uses the published npm package and a setup command:

Terminal
npx -y @papyruslabsai/seshat-mcp setup <your-key>

The setup process writes MCP configuration and stores the API key. A free key is available from the Seshat service, and the first extraction is free. Manual configuration can run the package with npx and provide SESHAT_API_KEY in the server environment:

config.json
{
  "mcpServers": {
    "seshat": {
      "command": "npx",
      "args": ["-y", "@papyruslabsai/seshat-mcp"],
      "env": { "SESHAT_API_KEY": "your-key" }
    }
  }
}

The README names Claude Code and Cursor as manual-configuration examples, while also stating that any MCP client can be configured this way.

Tools and capabilities

The seshat-mcp MCP server exposes tools for several investigation stages:

  • list_projects and list_modules show synchronized projects and code organization.
  • query_entities and find_entry_points locate symbols, routes, exports, and public API surfaces.
  • get_entity, get_dependencies, get_data_flow, and get_blast_radius explain relationships, behavior, and transitive change impact.
  • get_optimal_context ranks the smallest useful set of files to read before editing.
  • find_by_constraint searches for functions associated with a table or trait, while find_dead_code identifies unreachable symbols.
  • query_call_sites checks per-call states in JavaScript, TypeScript, and Python.
  • get_lineage, get_hotspots, and get_co_change_clusters use commit history to show evolution, unstable areas, and files that commonly change together.

Limitations and notes

Analysis runs in the Papyrus Labs cloud rather than locally. Public repositories are cloned from GitHub, private repositories need GitHub account access, and processed source is cached to serve queries. The README says cross-cutting audit tools for test coverage, topology, and semantic clones are not yet part of the available tool list.

Usage beyond the free tier is priced per query, with a stated typical investigation range of five to fifteen queries. The repository describes the server as MIT licensed.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
7d ago
Most recent push to the default branch.
Tools exposed
15
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Seshat MCP

seshat-mcp is an MCP server that connects AI agents to synchronized code repositories through a compiled symbol graph. Its main tools inspect projects, modules, entities, entry points, dependencies, data flow, blast radius, call-site states, dead code, and repository history so agents can investigate code structure before editing.

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Technical Specs & Signals

Category🧬Biology & Bioinformatics
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 13, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit7d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 6, 2026
52Quality signal: Good · 52/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3h ago via OSV.dev · @papyruslabsai/seshat-mcp (npm)

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