MCP server intelligence profile

llm-context MCP Server

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Local Onlycyberchitta
Awaiting current scanPypi · 0.7.0

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

1Distribution channel
5Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence

Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

Install llm-context from PyPI

Install exact version 0.7.0. The executable name has not been verified, so it is intentionally not guessed.

python -m pip install 'llm-context==0.7.0'

Identity

Canonical slugllm-context-0d56a30fDeploymentLocal Only
Canonical packagepypi:llm-contextRepositorycyberchitta/llm-context.py
First publishedJul 28, 2026Latest releaseAug 26, 2026
Last security verificationClassification confidence90%
PublicationDraftOfficial distributionNot verified

Distributions

ChannelIdentifierCurrent versionVersionsSource
pypillm-context0.7.02Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
pypillm-context0.7.0CurrentAug 26, 20265 toolsSucceeded · 0 resources · 0 promptsEvidence restricted
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Current version evidence

No public current-version evidence is available yet.

Current protocol inventory

2025-06-18Negotiated protocol
llm-contextServer-reported name
4Capability groups
Aug 26, 2026Observed

Tools 5

ToolCategoryAnnotationsRisk
lc_changedReturns list of files modified since given timestamp. Args: root_path: Root directory path (e.g. '/home/user/projects/myproject') timestamp: Unix timestamp to check modifications since
Input schema
{
  "properties": {
    "root_path": {
      "title": "Root Path",
      "type": "string"
    },
    "timestamp": {
      "title": "Timestamp",
      "type": "number"
    }
  },
  "required": [
    "root_path",
    "timestamp"
  ],
  "type": "object",
  "title": "lc_changedArguments"
}
Output schema
{
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "type": "object",
  "title": "lc_changedOutput"
}
lc_missingUnified tool for retrieving missing context (files, implementations, or excluded sections). Args: root_path: Root directory path (e.g. '/home/user/projects/myproject') param_type: Type of data - 'f' for files, 'i' for implementations, 'e' for excluded sections data: JSON string containing the data (file paths in /{project-name}/ format or implementation queries) timestamp: Context generation timestamp
Input schema
{
  "properties": {
    "root_path": {
      "title": "Root Path",
      "type": "string"
    },
    "param_type": {
      "title": "Param Type",
      "type": "string"
    },
    "data": {
      "title": "Data",
      "type": "string"
    },
    "timestamp": {
      "title": "Timestamp",
      "type": "number"
    }
  },
  "required": [
    "root_path",
    "param_type",
    "data",
    "timestamp"
  ],
  "type": "object",
  "title": "lc_missingArguments"
}
Output schema
{
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "type": "object",
  "title": "lc_missingOutput"
}
lc_outlinesReturns excerpted content highlighting important sections in all supported files. Args: root_path: Root directory path rule_name: Rule to use for file selection rules
Input schema
{
  "properties": {
    "root_path": {
      "title": "Root Path",
      "type": "string"
    },
    "rule_name": {
      "title": "Rule Name",
      "type": "string"
    }
  },
  "required": [
    "root_path",
    "rule_name"
  ],
  "type": "object",
  "title": "lc_outlinesArguments"
}
Output schema
{
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "type": "object",
  "title": "lc_outlinesOutput"
}
lc_previewPreview what files a rule selects and their sizes. Args: root_path: Root directory path (e.g. '/home/user/projects/myproject') rule_name: Name of the rule to preview (e.g. 'prm-code', 'tmp-prm-auth-jwt')
Input schema
{
  "properties": {
    "root_path": {
      "title": "Root Path",
      "type": "string"
    },
    "rule_name": {
      "title": "Rule Name",
      "type": "string"
    }
  },
  "required": [
    "root_path",
    "rule_name"
  ],
  "type": "object",
  "title": "lc_previewArguments"
}
Output schema
{
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "type": "object",
  "title": "lc_previewOutput"
}
lc_rule_instructionsProvides step-by-step instructions for creating custom rules. Args: root_path: Root directory path
Input schema
{
  "properties": {
    "root_path": {
      "title": "Root Path",
      "type": "string"
    }
  },
  "required": [
    "root_path"
  ],
  "type": "object",
  "title": "lc_rule_instructionsArguments"
}
Output schema
{
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "type": "object",
  "title": "lc_rule_instructionsOutput"
}

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

llm-context MCP Server questions

How do I install llm-context MCP Server?

Install the selected package version with: python -m pip install 'llm-context==0.7.0'

What tools does llm-context MCP Server provide?

llm-context MCP Server exposed 5 tools during independent protocol observation, including lc_changed, lc_missing, lc_outlines, lc_preview, lc_rule_instructions.

Is llm-context MCP Server secure?

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

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