Knowerage
Knowerage is a local-first MCP server for tracking AI-generated analysis coverage and freshness for legacy codebases, enabling AI agents to create, manage, query, and export code analysis documentation.
Create or update analysis documents (
knowerage_create_or_update_doc): Write structured markdown files with YAML frontmatter specifying source file paths and covered line ranges.Parse document metadata (
knowerage_parse_doc_metadata): Extract and validate YAML frontmatter from existing analysis files.Reconcile individual records (
knowerage_reconcile_record): Sync a single analysis file intoregistry.json, computing SHA-256 hashes and updating coverage/freshness status.Reconcile all records (
knowerage_reconcile_all): Rescan all analysis files and rebuild the entire registry — useful after bulk edits or agit pull. (Can also be automated viaKNOWERAGE_AUTO_FULL_RECONCILE.)Get per-file coverage status (
knowerage_get_file_status): See which line ranges of a source file have been analyzed vs. are missing.List stale records (
knowerage_list_stale): Identify records that are stale, have missing sources, or are dangling (no matching source).List the full registry (
knowerage_list_registry): Retrieve a complete snapshot of all coverage records including paths, line ranges, hashes, and freshness status.Get a tree view (
knowerage_get_tree): Browse analysis records grouped by directory for a structured overview.Coverage overview (
knowerage_coverage_overview): Get project-wide and per-source coverage percentages, analyzed vs. missing ranges, and stale record counts.Export reports (
registry_export_report): Export the registry as JSON, YAML, plain text, or HTML.Generate bundles (
knowerage_generate_bundle): Package selected analysis files into NotebookLM-style chunked bundles (table of contents, combined content, manifest) for external use or sharing.
Knowerage — AI Analysis Coverage Management
Links: GitHub · Glama MCP listing · npm @mtimma/knowerage
Quick Start
Requirements: Node.js 18 or newer — npx must be on your PATH (it comes with npm, which is included with Node).
MCP server configuration
Register Knowerage wherever your MCP host expects server definitions (for example some clients use .cursor/mcp.json or .vscode/mcp.json; others use environment variables or a UI—follow your host’s documentation). Use the same server entry shape:
{
"mcpServers": {
"knowerage": {
"command": "npx",
"args": ["@mtimma/knowerage"],
"env": {
"KNOWERAGE_WORKSPACE_ROOT": "${workspaceFolder}",
"KNOWERAGE_AUTO_FULL_RECONCILE": "true"
}
}
}
}Replace ${workspaceFolder} with your project root if your host does not expand that variable.
KNOWERAGE_AUTO_FULL_RECONCILE is optional: when unset, empty, or not a truthy value, the file watcher defaults to off. Set to 1, true, yes, or on (trimmed, case-insensitive) to enable. When on, the server watches knowerage/ and, after a short debounce, runs knowerage_reconcile_all on filesystem changes. That is not the same as running a full reconcile after every MCP tool call—it only reacts to file changes under knowerage/. Registry writes to registry.json are ignored by the watcher so saves do not loop.
How to use Knowerage
After the MCP server is configured, you talk to your assistant in normal sentences. You do not need to memorize tool names.
Analyse or document code
Point at files, classes, or behaviour you care about. For example:
Using Knowerage, analyse the logical algorithm workflow in
main.java.Analyze the data entity reconciliation and versioning logic in the ETL service.
The assistant creates or updates markdown under knowerage/analysis/ and records coverage in knowerage/registry.json (see How It Works below).
Coverage and gaps (same project, later chat or another agent)
When you already have analyses in the tree, you can ask:
In percentage, how much of the code has our analysis covered?
What part of this codebase is not yet analysed?
Knowerage answers these from the registry and coverage helpers (for example overview, per-file status, and stale lists)—not from hand-waving over the repo.
Alternative approaches
Install via npm
npx @mtimma/knowerageOr build from source
cargo build --release
./target/release/knowerage-mcpHow It Works
AI agent creates analysis
.mdfiles with YAML frontmatter declaring source file and covered line rangesRegistry (
knowerage/registry.json) tracks analysis records with SHA-256 hashes for freshnessMCP tools expose create, reconcile, query, and export operations
Agent says "analyze X" → full workflow runs automatically (create → reconcile → record)
Registry file shape (knowerage/registry.json)
The on-disk format is a JSON object whose keys are analysis paths (strings). Each value is one record (see contracts/contracts.md). A full sample with two records lives at examples/registry.sample.json.
flowchart TB
subgraph file["knowerage/registry.json"]
O["Top-level JSON object"]
O --> K["Each key: analysis markdown path, e.g. knowerage/analysis/.../topic.md"]
K --> V["Value: one RegistryRecord"]
end
subgraph rec["RegistryRecord fields"]
ap["analysis_path · source_path"]
cr["covered_ranges: [[start,end], ...]"]
h["analysis_hash · source_hash (sha256:… )"]
t["record_created_at · record_updated_at (ISO 8601)"]
st["status: fresh | stale_doc | stale_src | missing_src | dangling_doc"]
end
V --> recFrontmatter for analysis .md files is specified separately in the contracts doc (metadata schema), not inside registry.json.
MCP Tools
Tool | Purpose |
| Create/update analysis document |
| Parse and validate frontmatter |
| Reconcile one analysis record |
| Full rescan/rebuild |
| Analyzed vs missing ranges |
| List stale/problematic records |
| Full registry snapshot (same shape as |
| Tree/grouped coverage |
| Export snapshot (JSON/YAML/TXT/HTML) |
| Chunked export of selected analyses ( |
Project Structure
knowerage/ # Created per-project
├── analysis/ # Analysis markdown files
│ └── **/*.md
└── registry.json # Coverage registry
src/ # Rust MCP server
├── main.rs
├── lib.rs
├── types.rs
├── parser.rs
├── registry.rs
├── mcp.rs
├── security.rs
└── export.rsDocumentation
User Onboarding — Setup, config, typical usage
INSTRUCTIONS.md — MCP agent instructions
Contracts — Schemas and API contracts (registry + frontmatter)
Example registry JSON — Sample
registry.jsoncontents
Security
All paths validated against workspace root
Path traversal (
..) rejectedAtomic writes for registry (crash-safe)
No secrets in analysis files or reports
SHA-256 hash-based freshness (survives git pull)
License
MIT — copyright Martins Timma.
Parts of this project were written or refined with generative AI coding assistants. Human review applies to design, security-sensitive behavior, and releases.
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