local-evidence-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@local-evidence-mcpsearch for incident reports about server outage"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local Evidence MCP
A policy-constrained local evidence boundary for MCP clients.
Generated from the checked-in synthetic policy, server tool definitions, and named test inventory. It shows the intended capability boundary; the 18 tests are executable checks, not a completeness score or an independent security audit.
I built Local Evidence MCP to retrieve a deliberately small evidence set and record reviewed conclusions without giving an agent general filesystem access.
This repository demonstrates a practical RAG and agent-harness pattern:
policy-gated reads instead of whole-vault access;
redaction before content reaches the client or search index;
optional local Ollama embeddings with deterministic lexical fallback;
content-digest embedding caches that do not store source text;
create-only notes and an append-only lesson ledger;
newline-delimited JSON-RPC over stdio with no runtime dependencies; and
explicit rejection of likely credentials and raw challenge flags.
The included vault and policy are synthetic examples. No personal vault data, private policy, embedding cache, agent configuration, or credentials are part of this repository.
Architecture
flowchart LR
Client["MCP client"] -->|"JSON-RPC over stdio"| Server["Local Evidence MCP"]
Server --> Policy["Policy validation"]
Policy --> Guard["Path and symlink guard"]
Guard --> Read["Allowlisted UTF-8 notes"]
Read --> Redact["Credential and raw-flag redaction"]
Redact --> Lexical["Lexical ranking"]
Redact --> LocalEmbed["Optional loopback embeddings"]
Lexical --> Results["Source-labelled results"]
LocalEmbed --> Results
Server -->|"O_EXCL"| Create["Create-only drafts"]
Server -->|"O_APPEND"| Append["Append-only lessons"]The server advertises no shell, SSH, browser, messaging, remote retrieval, or arbitrary filesystem capability. The only optional HTTP call is to an unauthenticated loopback embedding endpoint.
Related MCP server: Jusratio Case File
Quick start
Requirements: Python 3.11 or newer. Ollama is optional.
git clone https://github.com/Labeeb2339/local-evidence-mcp.git
cd local-evidence-mcp
./run_server.cmd --checkOn macOS or Linux:
chmod +x run_server.sh
./run_server.sh --checkThe default health check uses examples/vault and
examples/policy.example.json. If Ollama is not available, the check reports
that lexical fallback is active; retrieval still works.
Try a JSON-RPC request directly:
'{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | ./run_server.cmdConfigure your own evidence root
Copy the example policy to a local, ignored file and edit only the relative paths that should be visible:
Copy-Item examples/policy.example.json policy.json
$env:LOCAL_EVIDENCE_ROOT = "D:\path\to\your\notes"
$env:LOCAL_EVIDENCE_POLICY = "$PWD\policy.json"
./run_server.cmd --checkThe policy separates four decisions:
Section | Purpose |
| Exact files the server may read |
| Non-recursive relative globs, such as |
| Paths denied even if another rule matches |
| One create-only directory and one append-only file |
Limits cap file size, result count, write size, index size, and chunk length. Absolute paths, traversal components, NTFS stream syntax, recursive read globs, and linked files are rejected.
To force offline lexical mode, set embeddings.enabled to false. When
embeddings are enabled, the endpoint must use plain HTTP on 127.0.0.1,
localhost, or ::1; remote and credential-bearing URLs are refused.
MCP client configuration
After installing the package with python -m pip install -e ., a client can
launch it with the console script:
{
"mcpServers": {
"local-evidence": {
"command": "local-evidence-mcp",
"args": [
"--root",
"<absolute-path-to-evidence-root>",
"--policy",
"<absolute-path-to-local-policy.json>"
]
}
}
}Keep the real policy and evidence root outside version control. The example policy is safe to publish because it references only the included synthetic fixtures.
Tools
Tool | Boundary |
| Reports configured capabilities and exclusions |
| Searches sanitized allowlisted chunks |
| Reads one sanitized allowlisted file |
| Creates a new draft with exclusive-create semantics |
| Appends one evidence-backed entry to a fixed ledger |
Tool input is checked again at runtime instead of relying only on the JSON schemas presented to the MCP client.
Security properties
Risk | Control |
Broad filesystem exposure | Relative allowlist plus resolved-root containment |
Traversal or linked-file escape | Component validation and symlink rejection |
Secret leakage in reads | Redaction before direct output and chunking |
Sensitive query or durable write | Credential and raw-flag rejection |
Destructive overwrite | `O_CREAT |
Rewrite of the lesson ledger | Fixed destination opened with |
Embedding data leakage | Loopback-only endpoint and vector-only cache |
Prompt injection in notes | Evidence warnings and no execution tools |
Regex redaction is defense in depth, not a substitute for keeping secrets out of the evidence root. Local operating-system permissions still define who can start the process and edit its policy.
Test
The full suite uses only the standard library:
$env:PYTHONPATH = "src"
python -m unittest discover -s tests -v
python scripts/generate_readme_assets.py --checkCI runs the suite on Python 3.11, 3.12, and 3.13 and performs a Gitleaks scan. Tests cover path containment, exclusions, redaction, lexical fallback, semantic ranking, plaintext-free caching, create-only and append-only writes, sensitive input rejection, symlink handling, and MCP protocol responses.
Design scope
This is a compact reference implementation, not a hosted vector database or an enterprise authorization service. It is most useful when an assistant needs a small, inspectable local knowledge boundary and the operator values safe degradation when the embedding service is offline.
License
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Alicense-qualityAmaintenanceLocal-first MCP server for safely searching, reading, summarizing, tagging, deduplicating, and organizing local files with scoped access, read-only defaults, and dry-run plans.14MIT
- AlicenseBqualityAmaintenanceLocal-first MCP server that transforms civil case PDFs into queryable cases with structural provenance, evidence IDs, and page-level verification for drafting and factual review.22Apache 2.0
- AlicenseAqualityBmaintenanceA local-first, model-neutral MCP server for collecting and normalizing change-scoped release evidence. It provides deterministic Git change summaries, evidence collection, and review bundles for agent review.716Apache 2.0
- AlicenseAqualityCmaintenanceA compact MCP server demonstrating explicit tool boundaries, least-privilege discovery, execution-time authorization, destructive-action confirmation, and metadata-only audit logs using a local note store.3MIT
Related MCP Connectors
Agent-native MCP server over the public saagarpatel.dev corpus. Read-only, stateless.
Remote MCP for C2PA intake verifier MCP, structured receipts, audit logs, and reviewer-ready evidenc
Remote MCP for C2PA disclosure policy MCP, structured receipts, audit logs, and reviewer-ready evide
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Labeeb2339/local-evidence-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server