Spark
Sign In
MCP Connector

Automate Context Management for AI Tools

MCP server that provides AI models with persistent context for tools, rules, and syntax preferences that persist across chat sessions, preventing context loss

Connect
Works with githubdxtanthropic ai
Henry
Own this? Claim it

Maintainer of this project? Claim this page to edit the listing.

90
Spark score
out of 100
Updated 5 months ago
Version 1.0.0
Models
universal
Add to Favorites

Why it matters

Enhance AI model performance by providing persistent, context-aware information across sessions. This asset ensures consistent tool usage, syntax adherence, and automatic corrections for improved AI application development and deployment.

Outcomes

What it gets done

01

Install and configure a static MCP server for context provision.

02

Manage persistent context for tools, rules, and syntax preferences.

03

Apply automatic syntax corrections and enforce tool-specific rules.

04

Dynamically create, update, and optimize context files.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-mcp-context-provider | bash

Capabilities

Tools your agent gets

get_tool_context

Get context rules for a specific tool

get_syntax_rules

Get syntax transformation rules

list_available_contexts

Show all loaded context categories

apply_auto_corrections

Apply automatic syntax corrections

execute_session_initialization

Initialize a session with memory service integration

get_session_status

Get detailed session initialization status

create_context_file

Create new context files dynamically with validation

update_context_rules

Update existing context rules with backup and validation

+5 tools

Overview

MCP Context Provider MCP Server

static MCP server providing persistent context for tools, rules, and syntax preferences when you need persistent context that survives Claude Desktop restarts and automatic enforcement of tool-specific rules

What it does

A static MCP server that provides persistent context for tools, rules, and syntax preferences. The server automatically loads context files from the /contexts directory and supports DokuWiki, Terraform, Azure, Git, and general preferences.

The server exposes 13 tools including get_tool_context, get_syntax_rules, list_available_contexts, apply_auto_corrections, execute_session_initialization, get_session_status, create_context_file, update_context_rules, add_context_pattern, analyze_context_effectiveness, suggest_context_optimizations, get_proactive_suggestions, and auto_optimize_context.

Features include persistent context that persists across Claude Desktop restarts, automatic enforcement of tool-specific rules and syntax preferences, automatic syntax transformations (e.g., Markdown → DokuWiki), context management with version control, dynamic creation and management of context files, and an intelligent learning system. Version 1.6.0+ includes an intelligent learning system that requires integration with mcp-memory-service for advanced capabilities.

Quick install (Unix/Linux/macOS):

git clone https://github.com/doobidoo/MCP-Context-Provider.git
cd MCP-Context-Provider
./scripts/install.sh

Claude Desktop configuration:

{
  "mcpServers": {
    "context-provider": {
      "command": "/path/to/mcp-context-provider/venv/bin/python",
      "args": ["/path/to/mcp-context-provider/context_provider_server.py"],
      "env": {
        "CONTEXT_CONFIG_DIR": "/path/to/mcp-context-provider/contexts",
        "AUTO_LOAD_CONTEXTS": "true"
      }
    }
  }
}
Source README

A static MCP server that provides AI models with persistent context for tools, rules, and syntax preferences that persist across chat sessions, preventing context loss and enabling automatic corrections.

Installation

Automatic Installation (Unix/Linux/macOS)

git clone https://github.com/doobidoo/MCP-Context-Provider.git
cd MCP-Context-Provider
./scripts/install.sh

Automatic Installation (Windows)

git clone https://github.com/doobidoo/MCP-Context-Provider.git
cd MCP-Context-Provider
.\scripts\install.bat

Manual Installation from DXT

npm install -g @anthropic-ai/dxt
wget https://github.com/doobidoo/MCP-Context-Provider/raw/main/mcp-context-provider-1.2.1.dxt
dxt unpack mcp-context-provider-1.2.1.dxt ~/mcp-context-provider
cd ~/mcp-context-provider
python -m venv venv
source venv/bin/activate
pip install mcp>=1.9.4

From Source Code

git clone https://github.com/doobidoo/MCP-Context-Provider.git
cd MCP-Context-Provider
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Configuration

Claude Desktop (Virtual Environment)

{
  "mcpServers": {
    "context-provider": {
      "command": "/path/to/mcp-context-provider/venv/bin/python",
      "args": ["/path/to/mcp-context-provider/context_provider_server.py"],
      "env": {
        "CONTEXT_CONFIG_DIR": "/path/to/mcp-context-provider/contexts",
        "AUTO_LOAD_CONTEXTS": "true"
      }
    }
  }
}

Claude Desktop (System Python)

{
  "mcpServers": {
    "context-provider": {
      "command": "python",
      "args": ["context_provider_server.py"],
      "cwd": "/path/to/MCP-Context-Provider",
      "env": {
        "CONTEXT_CONFIG_DIR": "./contexts",
        "AUTO_LOAD_CONTEXTS": "true"
      }
    }
  }
}

Available Tools

Tool Description
get_tool_context Get context rules for a specific tool
get_syntax_rules Get syntax transformation rules
list_available_contexts Show all loaded context categories
apply_auto_corrections Apply automatic syntax corrections
execute_session_initialization Initialize a session with memory service integration
get_session_status Get detailed session initialization status
create_context_file Create new context files dynamically with validation
update_context_rules Update existing context rules with backup and validation
add_context_pattern Add patterns for automatic section triggering for memory integration
analyze_context_effectiveness Analyze context effectiveness with memory-based insights
suggest_context_optimizations Generate global optimization suggestions based on usage patterns
get_proactive_suggestions Provide proactive context suggestions to improve workflow
auto_optimize_context Automatically optimize contexts based on learning engine recommendations

Features

  • Persistent context that persists across Claude Desktop restarts
  • Automatic enforcement of tool-specific rules and syntax preferences
  • Context rules for DokuWiki, Terraform, Azure, Git, and other tools
  • Automatic syntax transformations (e.g., Markdown → DokuWiki)
  • Context management with version control for enterprise use
  • Dynamic creation and management of context files
  • Intelligent learning system that analyzes context effectiveness
  • Integration with memory service for persistent learning data
  • Automatic context optimization based on usage patterns
  • Proactive suggestions to improve your workflow

Environment Variables

Required

  • CONTEXT_CONFIG_DIR - Path to the directory containing context configuration files

Optional

  • AUTO_LOAD_CONTEXTS - Enable automatic loading of context files on startup
  • ENVIRONMENT - Load context for a specific environment (e.g., 'prod')

Usage Examples

Get DokuWiki syntax rules for documentation formatting

Apply automatic syntax corrections to convert Markdown to DokuWiki format

Show all available tool contexts and their categories

Get Terraform naming conventions and best practices

Apply Azure resource naming compliance rules automatically

Notes

The server automatically loads context files from the /contexts directory and supports DokuWiki, Terraform, Azure, Git, and general preferences. Version 1.6.0+ includes an intelligent learning system that requires integration with mcp-memory-service for advanced capabilities. Context files follow a JSON structure with tool categories, syntax rules, preferences, and automatic corrections.

FAQ

Common questions

Discussion

Questions & comments · 0

Sign In Sign in to leave a comment.