GitHub
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Description from the maker (original English)
Deterministic code map for AI coding agents: a tree-sitter call graph with exact file:line over MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OSNOVA_CACHE_DIRYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"osnova": {
"command": "npx",
"args": [
"-y",
"@getdomovoi/osnova",
"mcp"
],
"env": {
"OSNOVA_CACHE_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add osnova --env OSNOVA_CACHE_DIR=your-value -- npx -y @getdomovoi/osnova mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"osnova": {
"command": "npx",
"args": [
"-y",
"@getdomovoi/osnova",
"mcp"
],
"env": {
"OSNOVA_CACHE_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"osnova": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@getdomovoi/osnova",
"mcp"
],
"env": {
"OSNOVA_CACHE_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
OSNOVA_CACHE_DIR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account getdomovoi, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.12.0) reached the registry 37 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
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A deterministic code map for AI coding agents. Osnova indexes a repository into a symbol and call graph with tree-sitter, then serves it to any MCP client or from the command line. Same input, same output, byte for byte. No embeddings, no telemetry, and no network connection unless you type osnova update-check. Twenty languages, seven of them (TypeScript, JavaScript, Python, Go, Rust, Java, C#) with deep adapters.
*Osnova* is the Slavic word for base or foundation. That is the job: give an agent solid ground to stand on before it edits code.
Node.js 22.13 or newer. Serve a repository to any MCP client:
npx -y @getdomovoi/osnova mcp --workspace /path/to/repo
After npm install -g @getdomovoi/osnova, one command per kind of agent: claude wires Claude Code (MCP entry, session, prompt and stop hooks, and the skill); agents wires every installed harness that reads AGENTS.md (Codex, OpenCode, Kilo, Pi, Cursor), each with its hooks, plugin or extension, plus one shared skill in ~/.agents/skills/. Each previews its changes; --apply writes them, backing up every file it changes.
osnova setup claude --apply
osnova setup agents --apply
Or add the MCP entry by hand; replace osnova with npx -y @getdomovoi/osnova when there is no global install.
{ "mcpServers": { "osnova": { "command": "osnova", "args": ["mcp"] } } }
osnova warp src/api.ts#refreshWorkspace on this repository, cut to twelve lines (test/docs-readme-warp.test.ts fails when the first two no longer reproduce):
function src/api.ts#refreshWorkspace: 83 indexed edges
reach: d1 callers 83 in 14 files (3 dirs); d2 +16 in 2 files; unresolved same-name 10; tests 18 d1 calls src/cli/cli.ts#ensureIndex:78 [import-binding] d1 calls src/cli/hook.ts#runHook:191,203,225,240 [import-binding] d1 calls src/mcp/server.ts#createOsnovaMcpServer.refresh:297 [import-binding] d1 calls test/verification-fastpath.test.ts# :37,47,48,51,53,57,58,64,68,74,78,85,110,114,132,145,154,166,171,197 [re-export-binding] via src/index.ts:65 refreshWorkspace -> src/api.ts (export refreshWorkspace) This does not prove absence of callers or that deletion is safe. unresolved evidence (10); not confirmed relationships candidates for refreshWorkspace (2, unverified): src/api.ts#refreshWorkspace, test/mcp-watch.test.ts#refreshWorkspace d1 calls refreshWorkspace test/artifact-format9.test.ts:78,85,104,120,140 [binding-blocked] d1 calls refreshWorkspace scripts/perf.mjs:485,486,491 [import-target-unresolved]
Each confirmed line names the caller, its lines and the evidence that tied the call to this definition: an import binding, a same-file definition, a re-export chain with its hop, or an identified receiver. Calls the index could not tie to a definition are listed apart as unresolved evidence, with the same-name candidates it found and the reason it stopped, so a name match is never mistaken for a caller. The reach line gives exact counts, not scores, and when the list outgrows its budget a capped: line and an omitted: footer count what was left out.
A call site counts as resolved when the index ties it to one definition through evidence it can name; everything else stays unresolved with a reason. These are the shares on the pinned checkouts under benchmarks/corpora/, recorded in benchmarks/results/resolution-coverage-2026-09-21b.json; the last column leaves out calls through packages outside the repository and calls to builtins, which can never resolve locally, and the reference defines every column.
| Corpus | Languages | Call sites | Resolved | Share | Excluding externals |
|---|---|---|---|---|---|
| click | all | 6593 | 2903 | 44.0% | 62.4% |
| cobra | all | 4374 | 1980 | 45.3% | 88.9% |
| gson | all | 23382 | 8473 | 36.2% | 56.7% |
| humanizer | all | 30517 | 7798 | 25.6% | 51.3% |
| pyright | all | 58578 | 30070 | 51.3% | 74.5% |
| ripgrep | all | 13387 | 6121 | 45.7% | 71.6% |
| zod | all | 53417 | 21630 | 40.5% | 73.2% |
Per-language rows are in the reference. osnova coverage reports the same numbers for your own repository, per language and per reason.
Resolved is not the same as right, so the call edges are also scored against each language's type checker or compiler. Every call site in six pinned checkouts was sent to the checker for the callee's declarations, and each osnova edge was marked true when the definition it names contains that declaration and false when it does not. Measured at 0.12.0:
| Corpus | Checker | Decided edges | False | False-edge rate | In-repo sites covered |
|---|---|---|---|---|---|
| click | pyright 1.1.414 | 2883 | 0 | 0% | 90.4% |
| zod | TypeScript 5.9.3 | 21593 | 4 | 0.02% | 78.2% |
| cobra | go/types, Go 1.27.1 | 1980 | 0 | 0% | 87.5% |
| ripgrep | rust-analyzer 1.98.1 | 6066 | 29 | 0.48% | 85.8% |
| humanizer | Roslyn 5.9.0 | 7363 | 3 | 0.04% | 62.2% |
| gson | javac 27 | 8133 | 4 | 0.05% | 72.3% |
Java and C# overloads share one symbol in the index, so a call edge names the overload it binds only when the written argument count fits exactly one declaration of the type, its partial parts and its declared base classes; when it fits several or none, the edge keeps the method and names no declaration, and the oracle leaves it out of both rates (2526 edges on gson, 602 on humanizer). 0.11.0 named the last overload declared for every call, recorded a call at the first line of its call expression, and lost the rest of a C# file after a primary constructor or a raw string; it measured gson 2045 false edges (24.75%), humanizer 617 (8.25%) and ripgrep 112 (2.06%). Of the 29 left on ripgrep, 11 are functions declared once per #[cfg] branch, 6 are a test module's function named like its parent's, and 5 are calls to a local closure or parameter named like a function elsewhere. A call whose target has one declaration that fits keeps it even when a base type is outside the index, where an unseen base overload could be the one the compiler binds; this limit is kept because withdrawing those edges cost 10 recall points on humanizer for one fewer false edge. Every false edge is classified by cause in benchmarks/results/type-checker-oracle-2026-09-30.json with the method and its limits. The scripts that produce these numbers are in benchmarks/oracle/.
The reason to keep a call graph instead of running a text search is not speed. It is that the first regex a person types is wrong more often than it looks, and nobody notices. Nine call-site sets in six languages were verified line by line; each cell shows sites found (precision / recall), and the method lists what each side got wrong.
| Corpus | Target | Verified sites | Text search | Resolved graph |
|---|---|---|---|---|
| click | Context.invoke depth 2 | 13 | 12 (0.92 / 0.85) | 12 (1.00 / 0.92) |
| pyright | getChildNodes depth 2 | 28 | 5 (0.80 / 0.14) | 28 (1.00 / 1.00) |
| cobra | Command.Root depth 1 | 30 | 30 (1.00 / 1.00) | 30 (1.00 / 1.00) |
| cobra | Command.PersistentFlags depth 1 | 12 | 13 (0.92 / 1.00) | 12 (1.00 / 1.00) |
| humanizer | Configurator.GetFormatter depth 1 | 18 | 19 (0.74 / 0.78) | 18 (1.00 / 1.00) |
| ripgrep | Searcher.line_terminator depth 1 | 12 | 32 (0.38 / 1.00) | 12 (1.00 / 1.00) |
| ripgrep | LineTerminator.as_byte depth 1 | 26 | 26 (1.00 / 1.00) | 26 (1.00 / 1.00) |
| gson | JsonReader.beginObject depth 1 | 10 | 29 (0.34 / 1.00) | 10 (1.00 / 1.00) |
| gson | TypeToken.getRawType depth 1 | 27 | 43 (0.63 / 1.00) | 27 (1.00 / 1.00) |
The graph never returned a site that was not a call of the target. The record is benchmarks/results/grep-vs-graph-2026-09-21.json.
The names play on the foundation image. The CLI uses the same names without the prefix: osnova ground and osnova_ground are the same query.
| Tool | Meaning | Does |
|---|---|---|
osnova_ground | the ground you stand on | Keyword search: ranked definitions with exact file:line |
Only the beginning is shown; read the rest in the repo