CloakLLM MCP Server
MCP server that wraps CloakLLM's Python SDK as tools for Claude Desktop and other MCP-compatible clients.
Important: MCP does not protect your initial prompt. MCP tools are called by the LLM — your prompt is sent to the LLM provider first, then the LLM decides to invoke tools. This means the raw prompt (including any PII) reaches the provider before CloakLLM can sanitize it. The MCP server is useful for sanitizing data that the LLM processes during a conversation (documents, files, tool outputs), but it cannot prevent your prompt from reaching the provider.
To protect prompts before they leave your infrastructure, use the SDK middleware instead:
- Python:
enable_openai(client)orcloakllm.enable()(LiteLLM)- JavaScript:
cloakllm.enable(client)
Tools
| Tool | Description |
|---|---|
sanitize |
Detect & cloak PII, return sanitized text + token map ID + entity_details. Pass mode: "redact" for irreversible PII removal (no token_map_id returned). |
desanitize |
Restore original values using a token map ID |
analyze |
Detect PII without cloaking (pure analysis) |
Install
cd cloakllm-mcp
pip install -e .
Claude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"cloakllm": {
"command": "python",
"args": ["/path/to/cloakllm-mcp/server.py"],
"env": {
"CLOAKLLM_LOG_DIR": "./cloakllm_audit",
"CLOAKLLM_LLM_DETECTION": "false"
}
}
}
}
Or using uvx:
{
"mcpServers": {
"cloakllm": {
"command": "uvx",
"args": ["mcp", "run", "/path/to/cloakllm-mcp/server.py"]
}
}
}
Usage Examples
Sanitize text before sending to an LLM
Tool call: sanitize
{
"text": "Email john@acme.com about the meeting with Sarah Johnson at 742 Evergreen Terrace",
"model": "claude-sonnet-4-20250514",
"token_map_id": "optional-id-for-multi-turn"
}
Multi-turn: Pass the
token_map_idfrom a previoussanitizeresponse to reuse the same token map across conversation turns. The same PII will always map to the same token.
Response:
{
"sanitized": "Email [EMAIL_0] about the meeting with [PERSON_0] at 742 Evergreen Terrace",
"token_map_id": "a1b2c3d4-...",
"entity_count": 2,
"categories": {"EMAIL": 1, "PERSON": 1},
"entity_details": [
{"category": "EMAIL", "start": 6, "end": 19, "length": 13, "confidence": 0.95, "source": "regex", "token": "[EMAIL_0]"},
{"category": "PERSON", "start": 42, "end": 56, "length": 14, "confidence": 0.85, "source": "spacy", "token": "[PERSON_0]"}
]
}
Restore original values
Tool call: desanitize
{
"text": "I've drafted an email to [EMAIL_0] regarding [PERSON_0]'s request.",
"token_map_id": "a1b2c3d4-..."
}
Response:
{
"restored": "I've drafted an email to john@acme.com regarding Sarah Johnson's request."
}
Analyze text for PII (no cloaking)
Tool call: analyze
{
"text": "Contact john@acme.com, SSN 123-45-6789"
}
Response:
{
"entity_count": 2,
"entities": [
{"text": "john@acme.com", "category": "EMAIL", "start": 8, "end": 21, "confidence": 0.95, "source": "regex"},
{"text": "123-45-6789", "category": "SSN", "start": 27, "end": 38, "confidence": 0.95, "source": "regex"}
]
}
Environment Variables
| Variable | Default | Description |
|---|---|---|
CLOAKLLM_LOG_DIR |
./cloakllm_audit |
Audit log directory |
CLOAKLLM_AUDIT_ENABLED |
true |
Enable/disable audit logging |
CLOAKLLM_SPACY_MODEL |
en_core_web_sm |
spaCy model for NER |
CLOAKLLM_LLM_DETECTION |
false |
Enable LLM-based detection |
CLOAKLLM_LLM_MODEL |
llama3.2 |
Ollama model for LLM detection |
CLOAKLLM_OLLAMA_URL |
http://localhost:11434 |
Ollama endpoint |
Testing
# Test with MCP inspector
python -m mcp dev server.py
# Or run directly
python server.py
See Also
- CloakLLM Hub — project overview, architecture, and links
- CloakLLM Python SDK — Python library with spaCy NER + OpenAI / LiteLLM middleware
- CloakLLM JS SDK — JavaScript library with OpenAI + Vercel AI middleware
License
MIT
Release files for cloakllm-mcp 0.12.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cloakllm_mcp-0.12.6.tar.gz | 22.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cloakllm_mcp-0.12.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.2 kB
Release files / cloakllm_mcp-0.12.6.tar.gz
| Download URL | cloakllm_mcp-0.12.6.tar.gz |
|---|---|
| Size | 22.2 kB |
| Tags | Source |
|
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| Uploaded via |
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|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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