Router
Let the agent choose the right Leapable tool or workspace for the task instead of forcing every prompt through one retrieval path.
Agentic-RAG primitive
Your agent already supports MCP. Leapable gives it verifiable, multi-format retrieval through 191 MCP tools, 10 MCP client configurations, and a SHA-256 provenance chain.
Built for AI agent developers who want source-cited private context without assembling storage, OCR, rerank, audit, and provenance systems from scratch.
MCP-native pitch
Leapable is the MCP server that gives an agent private, multi-format context with citations. Keep your current orchestrator and model; swap the brittle RAG assembly work for a local-first workspace with provenance.
Context patterns
Let the agent choose the right Leapable tool or workspace for the task instead of forcing every prompt through one retrieval path.
Alternate reasoning, source lookup, page inspection, and final answer generation while keeping citations attached to each step.
Combine code, product docs, runbooks, tickets, exported chats, and private PDFs in one MCP-accessible context surface.
Attribution: Boris Cherny's Claude Code discussion frames production agent search as tool-driven and context-aware. Anthropic context engineering treats tools, MCP, external data, and message history as context state an agent must curate. See Latent Space with Boris Cherny, Anthropic context engineering, and Anthropic Model Context Protocol.
Use cases
Ask across repos, docs, and runbooks with file-level citations.
Give internal agents cited answers from team docs and decisions.
Surface approved decks, win notes, and product facts during calls.
Ground replies in KB articles, release notes, and resolved tickets.
Reuse approved answers with citations to the policy or prior response.
Answer evidence requests from SOC, DPA, controls, and runbook sources.
Keep matter-specific context scoped and cited for counsel review.
Work over papers, lab notes, and private references with source links.
Keep clinical and operations context tied to source documents.
Trace people, dates, entities, and source pages across evidence drops.
Capabilities
The tool surface is intentionally broad because agents need more than a nearest-vector answer. Leapable exposes retrieval, source inspection, extraction, comparison, clustering, provenance, compliance, events, prompts, lab workflows, and repair tools through one MCP surface.
Retrieval
Hybrid search, cross-workspace search, saved searches.
Inspection
Source page, document metadata, page context.
Extraction
Fields, tables, clauses, reports, comparisons.
Governance
Audit log, provenance graph, chain hash, budgets.
Architecture
| Layer | DIY RAG stack | Vector framework | Enterprise AI platform | Leapable |
|---|---|---|---|---|
| Agent interface | You design tool contracts and adapters | Framework-specific SDK | Vendor console and connectors | MCP-native with 10 client configurations |
| Retrieval path | Custom lexical + vector + rerank plumbing | Bring storage, OCR, rerank, and provenance | Managed cloud retrieval | 768-d HNSW, lexical search, and cross-encoder rerank |
| Source formats | Whatever you write and maintain | Loader quality varies by integration | Connector-limited | 20 file pipeline with OCR and source-page access |
| Verification | You build traceability after the prototype | Usually application-owned | Vendor-specific audit surface | Audit log, provenance graph, SHA-256 chain |
Quickstart
Install Leapable, connect your MCP-capable client, add a developer workspace, and call the same tool names from your agent loop.
leapable_status
leapable_db_create name="agent-docs" tags=["developer","mcp"]
leapable_ingest_files database_name="agent-docs" paths=["./docs","./runbooks","./src"]
leapable_search query="Which runbooks describe webhook rotation?" mode="hybrid" include_provenance=true
leapable_document_page document_id="doc_..." page=3
Advanced
Use the HTTP MCP endpoint for streamable clients, call getToolNames() when you need the exact tool list in-process, and bring your own LLM or orchestration layer.
import { getToolNames } from 'leapable-mcp/server/register-tools';
const transport = 'leapable-mcp --transport stdio';
const tools = getToolNames();
// Pass transport + tools to the agent planner you already run.
Demo
Demo flow: add repository docs and operations runbooks, ask for patch context, open the cited source page, and hand the result back to your coding agent.
Transcript pending until the developers MCP integration walkthrough is uploaded.
Pricing
Builder covers a solo developer or early prototype. Pro adds API/SDK and HTTP MCP access for repeat agent workflows. Elite covers larger rollouts and custom integration support.
Open source
Leapable is developed in the open. The sidecar, dashboard, installer, MCP tool registry, provenance services, and tests live in the GitHub repo so teams can inspect the contracts behind the claims on this page.
FAQ
No. Leapable is the MCP-native source layer. Keep Claude, Cursor, ChatGPT, VS Code, LangGraph, custom orchestrators, or any other MCP-capable client.
AI clients connect to the bundled sidecar over stdio
(leapable-mcp --transport stdio). Stdio is the supported integration
path for Claude Code, Claude Desktop, Cursor, and the MCP SDK.
Yes. Leapable is model-agnostic MCP infrastructure. Your agent chooses the model; Leapable supplies cited private-source context and provenance.
Not yet. registry.modelcontextprotocol.io/leapable returns no public listing, so the page shows MCP Registry listing coming soon until the official slug resolves.
Final CTA
Install Leapable, point your agent at MCP, and make private-source context checkable before you ship another agent workflow.