About satori
satori is an MCP server published by git+ham-zax in the Developer Tools category: self-learning loop for Claude Code — corrections and failures become skills, behind a human gate. MCP + hooks, Windows-native, zero background LLM calls.
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Install
npx @zokizuan/satori-mcpclaude mcp add satori -- npx -y @zokizuan/satori-mcpnpx -y @zokizuan/satori-mcpThis 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.
Tools (7)
call_graphInspect advisory callers, callees, imports, and exports when supported. Verify inbound leads before blast-radius changes.
Parameters not published.
continue_searchReveal more of one frozen result set without rerunning retrieval. Use it when the initial disclosure is relevant but incomplete.
Parameters not published.
file_outlineList the indexed symbols and spans in one file. Use it to choose an exact owner before reading implementation.
Parameters not published.
list_codebasesList known indexed repositories, readiness, and runtime-owner state. Use it to discover existing publications before creating another one.
Parameters not published.
manage_indexManage the repository-intelligence Publication: create the first index, synchronize source changes, inspect readiness, cancel a live supervised sync, recover with reindex, or clear index state. Managed offline runtimes automatically start or join rebuild-safe background reindex maintenance; explicit reindex remains the operator recovery override.
Parameters not published.
read_fileRead a bounded source span or one exact indexed symbol. Large ranges are compacted so agent UIs receive structure instead of implementation floods.
Parameters not published.
search_codebaseSearch the repository-intelligence Publication with semantic, lexical, and exact evidence and return owner-oriented results. Start here for behavior, ownership, configuration, or path discovery.
Parameters not published.
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README
Satori
Agent-safe code retrieval for developers who use MCP coding agents on real repos.
Satori indexes a repo, keeps that index fresh, and gives agents a fixed six-tool surface for finding code, opening exact spans, checking callers/callees, and reading bounded evidence before an edit. It is read-only from MCP: source edits stay in your normal editor or agent host.
Why Developers Use It
- Find behavior by intent, not just filenames or exact tokens.
- Keep search focused on runtime code before pulling in docs or tests.
- Open exact files, line ranges, and symbols instead of dumping broad context.
- Trace nearby callers/callees when sidecar data is ready.
- Get explicit
requires_reindex, stale-state, and noise guidance instead of silent bad context. - Install the MCP server and first-party workflow skills with one CLI command.
Packages
| Package | Purpose |
|---|---|
@zokizuan/satori-core |
Indexing, AST chunking, embeddings, Milvus/Zilliz storage, retrieval, incremental sync |
@zokizuan/satori-mcp |
MCP server with the six agent-facing tools and lifecycle gates |
@zokizuan/satori-cli |
Installer, doctor command, and shell access to MCP tools |
Quick Start
Install managed MCP config for your client:
npx -y @zokizuan/satori-cli@0.3.2 install --client codex
npx -y @zokizuan/satori-cli@0.3.2 install --client claude
npx -y @zokizuan/satori-cli@0.3.2 doctor
The installer writes Satori-managed config and copies the first-party skills:
satori-searchsatori-navigationsatori-indexing
Manual JSON-style MCP config:
{
"mcpServers": {
"satori": {
"command": "npx",
"args": ["-y", "@zokizuan/satori-mcp@4.10.1"],
"timeout": 180000,
"env": {
"EMBEDDING_PROVIDER": "VoyageAI",
"EMBEDDING_MODEL": "voyage-4-large",
"EMBEDDING_OUTPUT_DIMENSION": "1024",
"VOYAGEAI_API_KEY": "your-api-key",
"VOYAGEAI_RERANKER_MODEL": "rerank-2.5",
"MILVUS_ADDRESS": "your-milvus-endpoint",
"MILVUS_TOKEN": "your-milvus-token"
}
}
}
}
Manual TOML-style config:
[mcp_servers.satori]
command = "npx"
args = ["-y", "@zokizuan/satori-mcp@4.10.1"]
startup_timeout_ms = 180000
env = { EMBEDDING_PROVIDER = "VoyageAI", EMBEDDING_MODEL = "voyage-4-large", EMBEDDING_OUTPUT_DIMENSION = "1024", VOYAGEAI_API_KEY = "your-api-key", VOYAGEAI_RERANKER_MODEL = "rerank-2.5", MILVUS_ADDRESS = "your-milvus-endpoint", MILVUS_TOKEN = "your-milvus-token" }
Restart the MCP client after changing config.
Runtime Setup
Satori needs an embedding provider and a Milvus-compatible vector store before indexing.
Cloud quality start:
EMBEDDING_PROVIDER=VoyageAI
EMBEDDING_MODEL=voyage-4-large
EMBEDDING_OUTPUT_DIMENSION=1024
VOYAGEAI_API_KEY=your-api-key
VOYAGEAI_RERANKER_MODEL=rerank-2.5
MILVUS_ADDRESS=your-milvus-endpoint
MILVUS_TOKEN=your-milvus-token
Local-first start:
EMBEDDING_PROVIDER=Ollama
EMBEDDING_MODEL=nomic-embed-text
OLLAMA_HOST=http://127.0.0.1:11434
MILVUS_ADDRESS=localhost:19530
Provider, model, dimension, vector store, and schema are part of the index fingerprint. If they change, Satori blocks search with requires_reindex until you rebuild the index.
Agent Workflow
Use Satori as the investigation layer before edits:
list_codebases
manage_index action="create" path="/absolute/path/to/repo"
search_codebase path="/absolute/path/to/repo" query="where is auth refresh handled"
file_outline path="/absolute/path/to/repo" file="src/auth.ts"
call_graph path="/absolute/path/to/repo" symbolRef={...} direction="both"
read_file path="/absolute/path/to/repo/src/auth.ts" start_line=1 end_line=160
Default search behavior is developer-oriented:
scope="runtime"so docs/tests do not dominate first results.resultMode="grouped"andgroupBy="symbol"to reduce duplicate chunks.rankingMode="auto_changed_first"to prefer active work when safe.debug=falseunless you are inspecting ranking/filter behavior.
Six MCP Tools
| Tool | Use it for |
|---|---|
list_codebases |
See indexed roots and their lifecycle buckets |
manage_index |
Create, sync, reindex, inspect status, or explicitly clear indexes |
search_codebase |
Runtime-first semantic search with operators, grouping, freshness, and navigation hints |
file_outline |
Read sidecar symbol outlines and resolve exact symbols without guessing |
call_graph |
Traverse bounded caller/callee context from a search-provided symbolRef |
read_file |
Read bounded files, ranges, annotations, or exact symbol spans |
What Satori Is Not
- Not an agent framework.
- Not a source-code write server.
- Not a replacement for tests, typecheck, code review, or grep.
- Not a promise that static call graph hints prove runtime or assertion coverage.
Satori gives the agent better evidence. It does not remove engineering judgment.
Repository Layout
packages/core indexing, retrieval, embeddings, vector store, sync
packages/mcp MCP server, tool schemas, lifecycle gates, generated tool docs
packages/cli managed installer, doctor, direct shell tool calls
docs/ behavior specs, feature inventory, architecture notes
satori-landing/ static website HTML source
Development
pnpm install
pnpm build
pnpm run versions:check
pnpm -C packages/mcp docs:check
pnpm -C packages/mcp manifest:check
pnpm --filter @zokizuan/satori-mcp test
pnpm --filter @zokizuan/satori-cli test
pnpm test:integration
More Docs
License
MIT (c) Hamza (@ham-zax)
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.