docorbit
DocOrbit is a documentation intelligence MCP server that helps coding agents discover, ingest, search, version-resolve, verify, and export authoritative documentation (like llms.txt, OpenAPI, Markdown) grounded in a project's dependency versions.
Ingest documentation: Add any URL or raw content; crawl and index pages, OpenAPI endpoints, code examples, and pitfalls.
Search documentation: Hybrid FTS5 search across all indexed chunks, with optional library/version filters.
Fetch specific docs/chunks: Retrieve pages or chunks by ID/URL with full metadata.
Find API endpoints: Look up OpenAPI endpoints by path/keyword, filter by HTTP method and version.
Find code examples: Discover verified examples filtered by language, framework, or task.
Find pitfalls/deprecations: Search for known gotchas, security issues, rate limits, and runtime restrictions.
Build implementation recipes: Assemble evidence-grounded step-by-step recipes for a coding goal.
Get implementation context: High-level orchestrator that resolves project dependencies, retrieves relevant docs/examples/pitfalls, and packs them into a token-budgeted context.
Verify code: Check generated code against indexed schemas for invalid endpoints, wrong methods, missing params, deprecations, and version conflicts.
Diff documentation: Compare versions/snapshots to detect added/removed/modified endpoints and content.
Analyze impact: Scan project files to find code affected by documentation changes, with line numbers and certainty.
Check versions: Resolve the correct documentation version for a project's library dependencies.
List sources: See all indexed documentation sources with versions and machine-readability.
Get documentation map: Retrieve the hierarchical page tree and token footprints.
Export agent contexts: Generate AGENTS.md, CLAUDE.md, skill.md, llms.txt, or docs-map.md grounded in project versions.
Discovers documentation from GitHub repositories as part of source discovery for ingestion and search.
Discovers and ingests machine-readable documentation from Mintlify-hosted docs sites, including llms.txt, llms-full.txt, and OpenAPI specifications.
Assembles context packages from Stripe's developer documentation to support implementation tasks such as webhook signature verification.
DocOrbit
Authoritative Sources (llms.txt / OpenAPI / Markdown / HTML)
│
▼
┌───────────────────────────┐
│ Discovery & Ingestion │ ◄── SSRF Guard & Security Annotations
└─────────────┬─────────────┘
│
▼
┌───────────────────────────┐
│ Version Intelligence │ ◄── Scans package.json / cargo.lock / go.mod
└─────────────┬─────────────┘
│
▼
┌───────────────────────────┐
│ Structured Knowledge DB │ ◄── Project-local SQLite: <projectRoot>/.docorbit/
└─────────────┬─────────────┘
│
┌─────────────┴─────────────┐
▼ ▼
┌───────────────────┐ ┌───────────────────┐
│ MCP Server Loop │ │ CLI Developer │
│ (15 Tools / Stdio)│ │ Commands │
└─────────┬─────────┘ └─────────┬─────────┘
│ │
▼ ▼
┌───────────────────┐ ┌───────────────────┐
│ Coding Agents │ │ AST Verification │
│ Claude / Cursor │ ────► │ & Contract Check │
└───────────────────┘ └───────────────────┘Quick Start
DocOrbit requires Node.js ≥ 22.5.0 and has zero external runtime dependencies.
Project-Based by Default: If you do not specify any flags, DocOrbit always defaults to project-based storage (<projectRoot>/.docorbit/docorbit.db). When you delete or branch a project, its documentation cache is isolated and cleans up automatically — zero orphaned files, zero global disk bloat, and zero cross-project version collisions.
1. Run via npx (Zero Installation)
# View all developer commands
npx docorbit --help
# Ingest and index documentation into project-local SQLite (default)
npx docorbit add https://nextjs.org/docs/14/app/api-reference/file-conventions/route
# Or explicitly pass -p to skip prompts and ensure project-local storage
npx docorbit add https://nextjs.org/docs/14/app/api-reference/file-conventions/route -p
# Query version-aware context within a strict token budget
npx docorbit context "How do I implement dynamic route params in Next.js 14?" --tokens 20002. Connect to Your Coding Agent (MCP)
When started by an agent (Cursor, Claude Desktop, Windsurf, Zed), DocOrbit automatically resolves to the active project workspace's SQLite database (.docorbit/docorbit.db):
Cursor (.cursor/mcp.json)
{
"mcpServers": {
"docorbit": {
"command": "npx",
"args": ["-y", "docorbit", "mcp"]
}
}
}Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"docorbit": {
"command": "npx",
"args": ["-y", "docorbit", "mcp"]
}
}
}Claude Code (Terminal CLI)
claude mcp add docorbit -- npx -y docorbit mcpDocOrbit detects when standard input is a machine pipe and starts the MCP stdio transport automatically in project-local mode. If you prefer a shared user-wide store across all projects, pass -g: ["-y", "docorbit", "mcp", "-g"].
3. How to Work with DocOrbit in Your Prompts
Once mounted, you never need to manually copy-paste documentation pages into your agent chat. Simply give your agent the official documentation link and tell it to use DocOrbit:
I want to setup stripe in my app, the link of stripe docs: https://docs.stripe.com/payments/checkout
use docorbit to set it up.What DocOrbit does behind the scenes:
Tree Crawling & SQLite FTS5 Indexing: The agent automatically invokes
docorbit.ingest_doc({ url: "https://docs.stripe.com/payments/checkout" }). DocOrbit crawls the documentation with SSRF protection and indexes endpoints and types in ~24ms.Context Assembly (Zero JSON Bloat): The agent calls
docorbit.get_implementation_context(...)and receives 412 tokens of clean, pure GitHub Markdown grounded in active API contracts.AST Contract Verification: The agent calls
docorbit.check_api(...)to verify code against AST contracts before writing to disk, preventing deprecated methods (such as legacystripe.charges.create) and runtime parameter crashes.
Related MCP server: Evergreen
Project-Scoped Storage & Flags
DocOrbit gives developers full control over where documentation is persisted:
Storage Mode | Location | Flag | Best Used For |
Project-Local (Default) |
|
| Default for all workflows. Zero disk leaks. Clean git isolation ( |
Global Store |
|
| Shared documentation across multiple ad-hoc scripts or global toolchains without repository workspaces. |
Interactive Selection Prompt
When running docorbit init or docorbit add <url> in an interactive terminal without flags on a new project, DocOrbit will ask:
? Where would you like to store DocOrbit documentation?
1) Project-local (.docorbit/ in project root) [Recommended - zero disk leak]
2) Global (~/.docorbit/ in user home directory)
Tip: Pass -p / --project or -g / --global to skip this question in future.
Select storage location [1/2] (default: 1): Pressing Enter directly accepts the default (
[1] Project-local).Non-interactive environments (CI, agents, pipes, scripts,
--json) automatically default to Project-local without hanging.Passing
-por-gimmediately selects that target and skips the prompt.
Why DocOrbit?
AI coding agents (Claude Code, Cursor, Windsurf, Devin) frequently produce broken code not because models lack reasoning, but because the documentation context they receive is flawed:
Wrong Version Collisions: An agent in a Next.js 14 codebase gets fed Next.js 15 documentation and uses
await params, breaking production builds.Bloated HTML: Generic scrapers dump navigation headers, footers, cookie banners, and script tags, wasting 70%+ of the agent's context window.
Missing API Contracts: Models guess query parameters and request bodies because documentation lack structured OpenAPI/Swagger schemas.
Stale Examples & Deprecations: Agents call deprecated endpoints (e.g. Stripe
/v1/chargesinstead of PaymentIntents) because docs lack explicit pitfall extraction.Prompt Injections & Untrusted Input: Documentation scraped from third-party sites can contain prompt injections that alter agent instructions.
Documentation Retrieval Approaches
Capability | Official Docs Fetch | Web Scraper (e.g. Firecrawl) | Generic Retrieval (e.g. Context7) | DocOrbit |
Machine-readable Discovery ( | ❌ | ❌ | ⚠️ Manual / Centralized | ✅ Automatic multi-source |
Project Lockfile & SemVer Resolution | ❌ | ❌ | ❌ | ✅ 8 Ecosystems ( |
Structured OpenAPI Endpoints | ❌ | ❌ | ❌ | ✅ Full parameters & schemas |
Indivisible Code Fence Chunking | ❌ | ❌ | ⚠️ Naive character split | ✅ Semantic AST chunking |
Pitfall & Deprecation Extraction | ❌ | ❌ | ❌ | ✅ Explicit gotcha indexing |
Closed-Loop Code Verification | ❌ | ❌ | ❌ | ✅ AST |
Untrusted Content Tagging & SSRF Defense | ❌ | ❌ | ❌ | ✅ Strict isolation boundary |
Local Offline-First SQLite FTS5 Cache | ❌ | ❌ | ❌ | ✅ Fast local database |
See It in Action
A developer in a Next.js 14 project asks their coding agent:
"How should I access dynamic route params in a Next.js 14 route handler?"
sequenceDiagram
autonumber
actor User
participant Agent as Coding Agent (Claude/Cursor)
participant DocOrbit as DocOrbit MCP
participant Code as Project Workspace
User->>Agent: "Implement GET handler with route params"
Agent->>DocOrbit: get_implementation_context({ task: "Next.js dynamic route params", project: "." })
DocOrbit->>Code: Scans package.json → detects next@14.2.0
DocOrbit->>DocOrbit: Resolves v14 doc branch & penalizes v15 breaking changes
DocOrbit-->>Agent: Returns v14 verified snippet + explicit warning: "Do NOT await params in v14"
Agent->>Agent: Generates route.ts (const id = params.id)
Agent->>DocOrbit: check_api({ code: "const id = params.id", framework: "next" })
DocOrbit-->>Agent: { status: "verified" }
Agent-->>User: Correct Next.js 14 implementation with zero deprecation errorsIf the agent had erroneously generated Next.js 15 syntax:
export async function GET(request: Request, { params }: { params: Promise<{ id: string }> }) {
const { id } = await params; // ❌ Invalid in Next.js 14
return Response.json({ id });
}DocOrbit's check_api tool immediately flags the mismatch:
{
"status": "mismatch",
"severity": "error",
"message": "Next.js 15 asynchronous route params used in a Next.js 14 workspace.",
"rule": "version_syntax_conflict",
"provenance": {
"sourceUrl": "https://nextjs.org/docs/14/app/api-reference/file-conventions/route",
"authority": "official",
"docVersion": "v14"
}
}Core Capabilities
1. Documentation Intelligence
Autonomous Discovery: Probes target domains and ranks available formats:
llms-full.txt>openapi.json>llms.txt>skill.md> Markdown > HTML sitemaps.Purpose-Aware Ranking: Ranks sources dynamically based on intent (
navigation,conceptual,api,examples,implementation).Semantic AST Slicing: Preserves section heading hierarchies, breadcrumbs, and indivisible code blocks. Admonitions and warnings remain bound to their host sections.
2. Version Intelligence
Workspace Manifest Scanner: Scans project files across 8 ecosystems (
npm,cargo,go,pypi,composer,rubygems,pub,maven).SemVer Confidence Ladder: Deterministically resolves project versions (
exact→major_minor→major→range→latest_fallback).Deterministic
docs.lock: Locks documentation versions to your repository without timestamp churn.
3. Implementation Knowledge
OpenAPI 3.x & Swagger 2.0 Engine: Parses parameters, JSON request/response schemas, bearer/basic auth, and pagination headers with safe
$refcycle resolution.Code Example Catalog: Extracts and indexes code snippets classified by language and framework (
next,react,express,fastapi,flask,django,gin,spring).Pitfalls & Admonitions: Indexes breaking changes, server-only vs client-only boundaries, rate limits, and security gotchas.
Evidence-Grounded Recipes: Assembles blueprints with explicit evidence levels (
documented_fact,inferred_relationship,missing_information).
4. Closed-Loop Verification
Static AST Code Verifier: Evaluates generated JavaScript, TypeScript, Python, and cURL against indexed schemas without calling an LLM.
Strict Contract Checking: Validates endpoint paths, HTTP methods, required parameters, and deprecated APIs.
Ambiguity Safety (
insufficient_evidence): Gracefully flags dynamic expressions without generating false positives.
5. Change Intelligence
Documentation Diffing (
diff_docs): Compares documentation snapshots to detect added, modified, removed, and deprecated endpoints.Workspace Impact Analysis (
analyze_impact): Scans repository source files against documentation diffs, locating affected lines, snippets, and certainty rankings.
6. Agent Integration
15 MCP Tools: Complete Model Context Protocol suite over
stdioand Streamable HTTP.Instant Context Synthesis: Tools return token-budgeted Markdown designed specifically for agent consumption.
Deterministic Exporters: Generates
AGENTS.md,CLAUDE.md,skill.md,llms.txt, anddocs-map.md.
MCP Tools
DocOrbit exposes 15 agent-native tools organized by workflow stage:
DocOrbit 15-Tool Agent Suite
│
┌───────────────────────┼───────────────────────┐
▼ ▼ ▼
Loop Starter Task Context & Recipe Verification
ingest_doc get_implementation_context check_api
│
┌───────────────────────┼───────────────────────┐
▼ ▼ ▼
API Intelligence Deep Retrieval Change & Exports
find_api search_docs diff_docs
find_example get_doc analyze_impact
find_pitfall get_version get_documentation_map
find_recipe list_sources export_agent_contextIngestion & Loop Starter
Tool | Description |
| Ingests, crawls, and indexes documentation from any URL or raw content directly into local SQLite, with optional instant implementation recipe synthesis. |
Context & Implementation Blueprints
Tool | Description |
| High-level orchestrator: detects project dependencies, resolves versions, retrieves relevant chunks, APIs, examples, and pitfalls, and packs evidence-grounded context within a strict token budget. Supports auto-ingestion from |
API & Knowledge Intelligence
Tool | Description |
| Inspects OpenAPI endpoints with parameters, request/response schemas, and auth requirements. |
| Discovers verified code examples filtered by framework, language, and task. |
| Finds deprecations, breaking changes, rate limits, and server-only restrictions. |
| Compiles evidence-grounded blueprints with documented facts vs inferred steps. |
Verification & Change Intelligence
Tool | Description |
| Deterministically checks code against indexed OpenAPI schemas, parameters, required body fields, and version contracts. |
| Compares documentation versions/snapshots to detect added, removed, modified, and deprecated endpoints. |
| Scans workspace project files for breaking changes and deprecated APIs, returning file, line, snippet, and certainty. |
Retrieval & Search
Tool | Description |
| Hybrid FTS5 retrieval over indexed documentation chunks with version boosting. |
| Retrieves a specific document chunk or complete page by ID with untrusted annotations. |
| Reconciles workspace dependencies using the hierarchical SemVer confidence ladder. |
| Lists indexed documentation sources, snapshots, and machine-readability status. |
Agent Exports & Structure
Tool | Description |
| Retrieves the hierarchical documentation tree, section headings, and token footprints. |
| Generates |
Performance
DocOrbit is built natively in Node.js 24 with node:sqlite and zero external dependencies. Cold boot takes < 40ms.
Scaling Performance (From Repository Test Suite)
Measured on SQLite in WAL mode via automated benchmarks (tests/integration/retrieval-benchmark.test.ts and tests/integration/benchmark.test.ts):
Workload | Metric | Measured Value | Requirement |
1,000 Chunks | Ingestion & FTS Indexing | 12.4ms (0.012ms/chunk) | — |
Search Query Latency | 1.8ms | < 50ms | |
Context Packing Latency | 3.2ms | < 100ms | |
10,000 Chunks | Search Query Latency | 8.4ms | < 100ms |
Context Packing Latency | 14.2ms | < 100ms | |
Total Heap Memory | 38.6 MB | — | |
Page Ingestion | 50 KB HTML Page Normalization | 1.8ms | < 100ms |
500 KB HTML Page Normalization | 12.6ms | < 350ms | |
5 MB HTML Page Normalization | 118.4ms | < 2,500ms | |
50-Page Batch Ingestion | 94.2ms (1.88ms/page) | — |
Empirical Benchmark (17-Task Suite)
DocOrbit includes a reproducible, auditable benchmark suite across 17 tasks covering 5 ecosystems (npm, pypi, cargo, go, composer):
4 Training Tasks: Used for algorithm calibration.
6 Held-Out Evaluation Tasks: Real-world library tasks (Next.js 15 async params, Stripe 2024 PaymentIntents, Pydantic v2 field validator, FastAPI lifespan, Tokio-Postgres, Gin v1.9).
7 Verification Tasks: Code checking against removed APIs, wrong HTTP methods, missing parameters, and version mismatches.
Measured System Metrics
All runs save raw JSON execution artifacts to eval-results/raw/ for independent verification:
Metric | Official Docs Fetch¹ | Headless Scraper (Firecrawl) | Context7 (Real MCP) | DocOrbit (Real MCP) |
Overall Task Success Rate | 82.4% | 82.4% | 82.4% | 88.2% |
Held-Out Eval Success Rate | 83.3% | 83.3% | 83.3% | 100.0% |
Correct Version Selected | 88.2% | 88.2% | 88.2% | 94.1% |
Retrieval Precision@k | 46.5% | 61.5% | 69.1% | 94.1% |
Retrieval Recall@k | 65.3% | 70.9% | 75.3% | 94.1% |
Mean Packed Tokens | ~668 | ~200 | ~50 | ~1,514 |
Mean Query Latency | ~144ms | ~140ms | ~50ms | ~3ms |
AST Verification Catches | — | — | — | 9 |
False Positives on Valid Code | — | — | — | 0 |
¹ Official Docs Fetch is direct HTTPS retrieval from known official documentation URLs (not an open-ended search engine). Results reflect empirical benchmark measurements recorded under eval-results/raw/.
Code Verification
DocOrbit provides closed-loop AST verification via check_api without calling an LLM:
Agent-Generated Code
│
▼
┌───────────────┐
│ AST Parser │ ◄── JS/TS, Python, cURL extractor
└──────┬────────┘
│
▼
┌───────────────┐
│ Schema Verifier│ ◄── Evaluates against SQLite OpenAPI schemas & version rules
└──────┬────────┘
│
├──► [VERIFIED] (Parameters, method, endpoint, and version match)
├──► [WARNING] (Deprecated endpoint; alternative suggested)
├──► [MISMATCH] (Removed API, missing required fields, version conflict)
└──► [INSUFFICIENT_EVIDENCE] (Dynamic/computed expression; safe non-blocking fallback)Example 1: Removed API Endpoint
// Agent calls removed Stripe Charges endpoint
const res = await fetch('https://api.stripe.com/v1/charges', { method: 'POST' });Result:
{
"status": "mismatch",
"severity": "error",
"message": "Endpoint \"POST /v1/charges\" was removed in the active API version.",
"rule": "endpoint_removed",
"provenance": { "sourceUrl": "https://docs.stripe.com/api", "docVersion": "2024-10-28" }
}Example 2: Ambiguous Dynamic Expressions
When code relies on runtime variables:
const url = getApiUrl();
fetch(url, { method: 'POST' });DocOrbit returns status: "insufficient_evidence", avoiding false positives on dynamic or unresolvable AST nodes.
Security Model
Documentation ingested from external websites must be treated as untrusted input. DocOrbit isolates external content through multiple defense layers:
Untrusted Provenance Tagging: All retrieved documentation carries explicit
untrusted: trueflags in metadata. Security boundaries are never stripped.SSRF Protection: Prohibits private IP ranges (RFC 1918, RFC 4193), loopback (
127.0.0.1), link-local, and cloud metadata endpoints (169.254.169.254) on all requests and redirect hops.Non-Destructive Security Annotations: Detects suspicious instructions (prompt injections, exfiltration directives, shell command triggers) and tags them in metadata without mutating the text.
Resource Bounded: Hard streaming byte limits (10MB default) and request timeouts prevent denial-of-service via decompression bombs or infinite streams.
Local Web Dashboard
DocOrbit includes an embedded local web dashboard powered by native node:http (port 3737) with zero browser build steps:
# Launch dashboard on http://127.0.0.1:3737/
npx docorbit dashboardVisual Health: Status of indexed sources, snapshots, chunks, and token footprints.
API Explorer: Filterable OpenAPI schemas with parameters, request/response models, and auth requirements.
Pitfalls & Warnings: Color-coded view of deprecations, runtime restrictions, and breaking changes.
Interactive Verifier: Test code snippets in real-time against indexed contracts.
Documentation Map: Interactive token hierarchy tree.
Export Center: One-click preview and export of
AGENTS.md,CLAUDE.md, andskill.md.
CLI Reference
# Workspace & Versioning
docorbit init [dir] [-p|-g] # Scan project dependencies and generate docs.lock
docorbit update [pkg] [-p|-g]# Selectively or globally refresh documentation versions
# Ingestion & Discovery
docorbit inspect <url> # Probe domain for machine-readable specifications
docorbit add <url> [-p|-g] # Ingest, chunk, and index documentation into SQLite
# Search & Retrieval
docorbit search "<q>" [-p|-g]# Hybrid FTS5 search across documentation chunks
docorbit context "<t>" [-p|-g] Pack token-budgeted context for coding agents
# API & Implementation Knowledge
docorbit api "<query>" [-p|-g] Inspect structured OpenAPI endpoints
docorbit examples "<t>" [-p] # Filter code examples by framework and language
docorbit pitfalls "<t>" [-p] # Inspect deprecations and runtime traps
docorbit recipes "<g>" [-p] # Assemble evidence-grounded blueprints
# Verification & Change Intelligence
docorbit verify <code> [-p] # Verify code against indexed schemas
docorbit diff [source] [-p] # Compare documentation versions and snapshots
docorbit impact [source] [-p]# Scan workspace for breaking changes
# Dashboard & Exports
docorbit dashboard [-p|-g] # Launch local inspection UI (alias: ui)
docorbit export [fmt] [-p|-g]# Export AGENTS.md, CLAUDE.md, skill.md, llms.txt, docs-map.md
docorbit mcp [-p|-g] # Start Model Context Protocol server (stdio / HTTP)CLI Storage Flags
Flag | Description |
(None / Default) | Project-Local Default: Resolves to |
| Explicitly targets project-local storage in the nearest project root (or specified directory). Bypasses interactive prompts. |
| Explicitly targets the user-wide global documentation store ( |
| Custom SQLite database file path override. |
Repository Structure
docorbit/
├── bin/
│ └── docorbit.js # Executable binary entry point
├── docs/ # Specifications and research
│ ├── architecture.md # Deep architectural specification
│ ├── competitive-analysis.md # Ecosystem analysis vs Context7, Firecrawl, etc.
│ └── product-spec.md # Product requirements and capabilities
├── site/ # Landing page and documentation website
├── src/
│ ├── cli/ # Command-line interface and command handlers
│ ├── core/ # Ingestion pipeline, source manager, and implementation services
│ ├── crawler/ # SecureFetcher with SSRF and streaming bounds
│ ├── discovery/ # Discovery providers and purpose ranker
│ ├── evaluation/ # Benchmark runners and comparative strategies
│ ├── export/ # AGENTS.md, CLAUDE.md, and skill.md generators
│ ├── mcp/ # 15 MCP tools, Stdio and Streamable HTTP transports
│ ├── normalizer/ # HTML-to-Markdown, OpenAPI parser, and chunk slicer
│ ├── retrieval/ # FTS5 retrieval, intent detection, and context packer
│ ├── security/ # SSRF validation and prompt injection detection
│ ├── shared/ # Domain models, hashing, and SemVer logic
│ ├── storage/ # SQLite schema, WAL setup, and repositories
│ ├── verification/ # AST code extractor and schema contract verifier
│ ├── workspace/ # Dependency scanner for 8 package ecosystems
│ └── index.ts # Public programmatic SDK exports
└── tests/
├── fixtures/ # In-memory test servers (Fixtures A–J)
├── integration/ # Real-world benchmark and transport suites
└── unit/ # Unit test suites across all componentsCurrent Status
Documentation Ingestion: Autonomous discovery (
llms.txt, OpenAPI, Sitemap, Markdown, Skill)Semantic Retrieval: SQLite FTS5 with section breadcrumbs and indivisible code fences
Version Intelligence: Project awareness across 8 ecosystems and deterministic
docs.lockAPI & Implementation Knowledge: OpenAPI 3.x parser, code examples, pitfalls, and recipes
Agent MCP Integration: 15 MCP tools over
stdioand Streamable HTTPAST Code Verification: Schema and parameter contract checking (
check_api)Documentation Diffing & Impact: Breaking change detection and workspace scanning
Local Web Dashboard: Zero-dependency UI for interactive verification and exploration
Empirical Benchmark: Auditable 17-task comparative evaluation suite
License
MIT License. See LICENSE for details.
Available Tools
15 toolsanalyze_impactB
Compare detected documentation and API changes against current project workspace files. Identifies affected files, exact line numbers, code snippets, matched patterns, and traceable reasons with certainty rankings (high, medium, heuristic).
Inputs: to, from, format, project, +6 more.
check_apiA
Verify agent/generated code against indexed OpenAPI schemas and documentation. Detects invalid endpoints, wrong HTTP methods, missing required parameters, deprecations, removed APIs, version syntax conflicts, and response assumptions. Distinguishes verified, warning, mismatch, and insufficient_evidence.
Inputs: code, format, library, project, +4 more.
diff_docsA
Compare documentation snapshots and versions to detect added, removed, modified, and deprecated API endpoints, parameters, pitfalls, and content sections. Produces deterministic diffs ignoring formatting-only changes.
Inputs: to, from, format, sourceId, +4 more.
export_agent_contextB
Deterministically generate and export agent-native documentation context files (AGENTS.md, CLAUDE.md, skill.md, llms.txt, docs-map.md) grounded in project dependency versions and authoritative documentation.
Inputs: format, docVersion, projectDir, targetSource, +1 more.
find_apiB
Lookup structured OpenAPI endpoints by path, operation ID, or keyword with exact parameters, schemas, auth, and error responses.
Inputs: query (required), limit, format, method, +1 more.
find_exampleB
Find verified, framework-specific code examples by task, language, framework, or target API.
Inputs: query (required), limit, format, version, +2 more.
find_pitfallB
Search documented pitfalls, gotchas, deprecations, breaking changes, and runtime restrictions.
Inputs: query (required), kind, limit, format, +1 more.
find_recipeC
Assemble an evidence-grounded implementation recipe with explicit prerequisites, ordered steps, and validation steps.
Inputs: goal (required), format, version, projectPath.
get_docC
Retrieve a specific documentation page or contextual chunk by ID or URL with complete metadata and security annotations.
Inputs: url, format, pageId, chunkId.
get_documentation_mapB
Retrieve the hierarchical documentation map, page tree, section headings, and estimated token budget footprints for indexed documentation.
Inputs: format, sourceId, docVersion.
get_implementation_contextB
High-level documentation intelligence orchestrator. Automatically resolves workspace dependencies and versions, detects task intent, retrieves relevant chunks, APIs, verified examples, and pitfalls, and compiles an evidence-grounded recipe within a strict token budget.
Inputs: url, goal, task, query, +5 more.
get_versionC
Inspect workspace dependencies and resolve the exact compatible documentation version using the SemVer confidence ladder.
Inputs: library (required), format, projectPath.
ingest_docA
Ingest, crawl, parse, and index authoritative documentation from any URL or raw content directly into DocOrbit. Tracks documentation sources deterministically in docs.lock. Extracts semantic chunks, OpenAPI endpoints, code examples, and pitfalls. If taskContext is provided, immediately synthesizes and returns an evidence-grounded implementation recipe with exact code and API details.
Inputs: url, force, title, format, +5 more.
list_sourcesC
List all indexed documentation sources, snapshot records, doc versions, and machine-readability status.
Inputs: limit, format.
search_docsB
Search documentation chunks using hybrid FTS5 ranking, symbol awareness, and optional version filtering.
Inputs: query (required), limit, format, library, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 15 tools
Each tool targets a distinct retrieval or analysis mode (search vs. map vs. API lookup vs. examples vs. pitfalls vs. recipes), so boundaries are mostly clear. The main overlap is get_implementation_context, which is an orchestrator that subsumes search_docs, find_api, find_example, find_pitfall, and find_recipe, but its explicit 'high-level orchestrator' labeling mitigates confusion.
All 15 tools follow a consistent snake_case verb_noun pattern (list_sources, search_docs, get_doc, find_api, check_api, diff_docs, analyze_impact, export_agent_context, ingest_doc). The verb variety (get/find/check/diff/analyze) is intentional and readable, not chaotic.
At 15 tools, the set is well within a healthy range and each tool maps to a distinct capability in the documentation-intelligence workflow. No obvious filler or redundant tools inflate the count.
The surface covers the full lifecycle: ingest/index (ingest_doc), discovery (list_sources, get_documentation_map), retrieval (search_docs, get_doc, find_api, find_example, find_pitfall), synthesis (find_recipe, get_implementation_context), verification (check_api), change tracking (diff_docs, analyze_impact), and export (export_agent_context). Version resolution (get_version) rounds out dependency-aware workflows, leaving no obvious dead ends.
Maintenance
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