Automate Context Management for AI Tools
MCP server giving Claude persistent Contexts and human-approved, confidence-scored Instincts distilled from sessions, surviving across chats.
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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
Install and configure a static MCP server for context provision.
Manage persistent context for tools, rules, and syntax preferences.
Apply automatic syntax corrections and enforce tool-specific rules.
Dynamically create, update, and optimize context files.
Source
Get it from source
Spark does not host a copy of it.
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Capabilities
Tools your agent gets
Get context rules for a specific tool
Get syntax transformation rules
Show all loaded context categories
Apply automatic syntax corrections
Initialize a session with memory service integration
Get detailed session initialization status
Create new context files dynamically with validation
Update existing context rules with backup and validation
Overview
MCP Context Provider MCP Server
MCP Context Provider is a TypeScript MCP server giving Claude two kinds of persistent memory across sessions: manually authored Contexts (static tool rules and syntax preferences) and confidence-scored Instincts distilled from real sessions via a Claude Code /instill skill, which require human approval before taking effect. It exposes MCP tools to inject the relevant contexts/instincts and a CLI (mcp-cp) to review, approve, or tune instincts. Use it when the same tool conventions or corrected mistakes keep needing re-explanation across Claude sessions; the /instill distillation workflow is Claude Code-only, and instincts (which may contain sensitive session details) are stored outside any git repository by default.
What it does
MCP Context Provider gives Claude persistent memory of two different kinds across sessions: Contexts (static, manually authored tool rules, syntax preferences, and auto-corrections, 200-1000 tokens each) and Instincts (short, confidence-scored rules distilled from actual sessions and reviewed by a human before they take effect, 20-80 tokens each). Instead of re-establishing the same tool conventions and past corrections in every new chat, the server injects the relevant contexts and instincts automatically.
When to use - and when NOT to
Use it when the same tool-usage rules, syntax preferences, or corrected mistakes keep needing to be re-explained across Claude sessions - Contexts handle the stable, hand-authored rules (e.g. git workflow conventions matched by tool-pattern globs), while Instincts capture what was actually learned mid-session through a /instill skill that distills a productive conversation into confidence-scored, human-approvable rule candidates. /instill itself only works in Claude Code (it's an interactive, multi-step workflow - analyze the conversation, present candidates, wait for a decision, write YAML - which an MCP tool can't drive since a tool call returns a single response); Claude Desktop can still use the underlying list_instincts/build_injection MCP tools, but the instill workflow needs a Desktop Project with the instructions pasted in as Custom Instructions plus a file-writing MCP server. Because instincts are distilled from real work sessions, they can end up containing internal hostnames, customer names, or operational details - the default store lives outside any git repository specifically for this reason, and the server actively warns at startup if the resolved store turns out to sit inside an unrelated git working tree.
Inputs and outputs
Input is a tool category or text to correct, requested via MCP tools like get_tool_context, get_syntax_rules, apply_auto_corrections, or the combined build_injection payload; instincts themselves come from /instill sessions and are stored as YAML with a rule, trigger patterns, a confidence score, and an approved_by: human field. Output is the matched context/instinct injection payload, or a listed set of available contexts/instincts with their confidence scores and resolved store path. Only one learned.instincts.yaml file is ever read from the resolved store directory - any other *.instincts.yaml file sitting alongside it is deliberately ignored and reported by name (with an mcp-cp import command to merge it) rather than silently picked up.
Integrations
git clone https://codeberg.org/doobidoo/MCP-Context-Provider.git
cd MCP-Context-Provider
npm install && npm run build
Configures into Claude Desktop or Claude Code via absolute paths in the MCP server config (Claude Code specifically doesn't support relative cwd resolution), or installs as a Claude Code plugin (/plugin marketplace add codeberg/doobidoo/MCP-Context-Provider then /plugin install context-provider), which auto-configures the paths. An optional hook (instill-trigger.js, registered under UserPromptSubmit and PostToolUse in Claude Code's settings) watches for user corrections and tool failures during a session and nudges toward running /instill once a scored threshold is crossed. An optional Memory Bridge (MEMORY_BRIDGE_URL/MEMORY_BRIDGE_API_KEY) syncs instincts to mcp-memory-service.
Who it's for
Claude Code and Claude Desktop users who keep re-explaining the same tool conventions or re-correcting the same mistakes across sessions, and want those corrections captured as reviewable, confidence-scored rules rather than lost when the chat ends - with care taken that anything a session teaches Claude is stored outside version control by default. It's released under the Apache 2.0 license.
Source README
MCP Context Provider
Status: beta - feature-complete, API stabilizing. See CHANGELOG.md for the latest release.
https://github.com/user-attachments/assets/d9c6c325-00f1-44d9-a805-b1d6588c0acf
Persistent context and learned instincts for Claude Desktop and Claude Code - surviving across sessions.
A TypeScript MCP server that gives Claude persistent Contexts (static tool rules) and Instincts (learned, confidence-scored rules distilled from sessions). No more re-establishing context in every new chat.
Architecture
Two core concepts:
| Concept | Description | Size | Lifetime |
|---|---|---|---|
| Context | Static tool rules, syntax preferences, auto-corrections | 200-1000 tokens | Permanent, manually authored |
| Instinct | Learned rule extracted from sessions, confidence-scored | 20-80 tokens | Human-approved, evolves over time |
Four subsystems:
- Engine - loads, matches, and merges contexts + instincts into injection payloads
- MCP Server (
src/server/index.ts) - stdio + HTTP transport, 10 MCP tools - CLI (
mcp-cp) - approval registry for instinct lifecycle management - Memory Bridge - optional sync of instincts to mcp-memory-service
Quick Start
git clone https://codeberg.org/doobidoo/MCP-Context-Provider.git
cd MCP-Context-Provider
npm install
npm run build
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"context-provider": {
"command": "node",
"args": ["/path/to/mcp-context-provider/dist/server/index.js"],
"env": {
"CONTEXTS_PATH": "/path/to/mcp-context-provider/contexts",
"INSTINCTS_PATH": "/path/to/mcp-context-provider/instincts"
}
}
}
}
Claude Code (global)
Add to ~/.mcp.json:
{
"mcpServers": {
"context-provider": {
"command": "node",
"args": ["/path/to/mcp-context-provider/dist/server/index.js"],
"env": {
"CONTEXTS_PATH": "/path/to/mcp-context-provider/contexts",
"INSTINCTS_PATH": "/path/to/mcp-context-provider/instincts"
}
}
}
}
Important: Use absolute paths for both
argsandenvvalues. Claude Code does not support thecwdfield in MCP server configs - relative paths will resolve from the wrong directory and the server will fail to connect.
Claude Code Plugin (Marketplace)
Install directly from the marketplace:
/plugin marketplace add codeberg/doobidoo/MCP-Context-Provider
/plugin install context-provider
This auto-configures the MCP server with correct paths - no manual .mcp.json editing needed.
/instill Skill (Claude Code)
Install the skill globally (stays current with git pull):
mkdir -p ~/.claude/skills/instill
ln -s /path/to/mcp-context-provider/.claude/skills/instill.md ~/.claude/skills/instill/SKILL.md
Then use /instill at the end of productive sessions to distill learned patterns into instinct candidates.
Auto-Trigger Hook (Optional)
The instill-trigger hook automatically detects mistakes during a session and nudges Claude to suggest /instill when a threshold is reached. It monitors:
- User corrections (UserPromptSubmit) - "no not that", "that's wrong", "still broken", etc.
- Tool failures (PostToolUse) - non-zero exit codes, tracebacks, permission errors
Install the hook:
cp hooks/instill-trigger.js ~/.claude/hooks/core/instill-trigger.js
Register in ~/.claude/settings.json under both UserPromptSubmit and PostToolUse:
{
"type": "command",
"command": "node --no-warnings \"~/.claude/hooks/core/instill-trigger.js\"",
"timeout": 3
}
Scoring: Corrections weighted 1.5x, tool failures 0.5x. Combined threshold: 3.0. Max 1 nudge per session. All tunable via CONFIG object in the hook file.
MCP Tools
| Tool | Description |
|---|---|
get_tool_context |
Get complete context for a tool category |
get_syntax_rules |
Get syntax-specific rules for a tool |
list_available_contexts |
List all loaded contexts |
apply_auto_corrections |
Apply correction patterns to text |
build_injection |
Combined context + instinct injection payload |
list_instincts |
List all instincts with confidence scores, plus the resolved store path |
Environment Variables
| Variable | Default | Description |
|---|---|---|
CONTEXTS_PATH |
packaged contexts/ |
Path to *_context.json files |
INSTINCTS_PATH |
~/.local/share/mcp-context-provider/instincts |
Directory holding learned.instincts.yaml - see Store Location |
MEMORY_BRIDGE_URL |
- | Memory service base URL (enables bridge) |
MEMORY_BRIDGE_API_KEY |
- | API key for memory service |
MCP_SERVER_PORT |
3100 |
HTTP server port (only with --http) |
Store Location
The instincts store never depends on the directory the MCP host happened to launch
the server from. It resolves in this order:
INSTINCTS_PATH- explicit override, always wins./instincts- only when the working directory is anmcp-context-provider
checkout (the development case)$XDG_DATA_HOME/mcp-context-provider/instincts- whenXDG_DATA_HOMEis set~/.local/share/mcp-context-provider/instincts- the default
Contexts resolve the same way, except the fallback is the contexts/ directory
shipped with the package: contexts are authored and versioned with the code,
instincts are learned user data.
To see which store is active:
mcp-cp path # prints the resolved directory
node dist/server/index.js # logs both paths to stderr at startup
The resolved path is also part of the list_instincts response (store.path,store.resolved_from) and of the /health payload in HTTP mode.
If the resolved store sits inside a git working tree that is not this
repository's checkout, the server warns at startup - that is the signal it
picked up a working directory by accident and that learned instincts are about
to be committed somewhere they do not belong.
Merging a store from elsewhere:
mcp-cp import /path/to/learned.instincts.yaml --dry-run # preview
mcp-cp import /path/to/learned.instincts.yaml # merge
The merge always targets the canonical learned.instincts.yaml.
Existing ids are never overwritten - a merge only adds. Legacy file shapes
(top-level array, or instincts: as a list) are normalized on read.
Context Files
Contexts are JSON files in contexts/*_context.json. Each file matches one or more tools via glob patterns and injects static rules.
{
"tool_category": "git",
"description": "Git workflow rules",
"auto_convert": false,
"metadata": {
"version": "1.0.0",
"applies_to_tools": ["git:*", "Bash"],
"priority": "high"
},
"syntax_rules": { ... },
"auto_corrections": {
"fix-1": { "pattern": "...", "replacement": "..." }
}
}
Add a new context by dropping a *_context.json file in contexts/ and restarting the server.
Instincts
Instincts live in exactly one file, learned.instincts.yaml, inside the
resolved store (see Store Location). They are distilled from
sessions via /instill and require human approval.
Any other *.instincts.yaml in that directory is not read. It is reported
by name at startup and by mcp-cp list, together with the mcp-cp import
command that merges it - so a second file can never drift into the store
unnoticed, and no instinct is ever loaded from a file you did not intend.
version: "1.0"
instincts:
my-rule:
id: my-rule
rule: "Compact, actionable rule (20–80 tokens)."
domain: git
tags: [git, workflow]
trigger_patterns:
- "git commit"
confidence: 0.75
min_confidence: 0.5
approved_by: human
active: true
created_at: "2026-03-10T00:00:00Z"
outcome_log: []
Manage instincts with the CLI:
mcp-cp list
mcp-cp show <id>
mcp-cp approve <id>
mcp-cp reject <id>
mcp-cp tune <id> --confidence 0.8
mcp-cp outcome <id> + "worked well"
mcp-cp path
mcp-cp import <file> [--dry-run]
Development
npm run build # Compile TypeScript
npm run dev # Watch mode
npm run lint # Type-check only
npm test # Run tests (vitest)
npm start # stdio transport
npm run start:http # HTTP transport on port 3100
FAQ
Can I use /instill in Claude Desktop?
No. /instill is a Claude Code skill (.claude/skills/instill.md) and only works in the Claude Code CLI. Claude Desktop does not have a skill system.
However, you can achieve the same result in Claude Desktop:
- MCP tools work in both - The
list_instinctsandbuild_injectiontools are available in Claude Desktop via the MCP server. - For the instill workflow, create a Claude Desktop Project and paste the instill instructions as Custom Instructions. Claude Desktop can then use
desktop-commanderor similar MCP servers to write YAML files.
The reason /instill is not exposed as an MCP tool: it is an interactive, multi-step workflow (analyze conversation, present candidates, await user decision, write YAML). MCP tools return a single response and cannot drive multi-turn interactions.
Do learned.instincts.yaml files contain sensitive data?
Potentially yes. Instincts distilled from work sessions may contain internal hostnames, customer names, infrastructure details, or operational procedures.
This is why the default store is a user-level directory outside any repository
(~/.local/share/mcp-context-provider/instincts) and why the server warns when
the resolved store sits inside an unrelated git working tree. If you do pointINSTINCTS_PATH at a checkout, add instincts/learned.instincts.yaml to that
repository's .gitignore and review its contents before pushing.
What is the difference between Contexts and Instincts?
| Contexts | Instincts | |
|---|---|---|
| Format | JSON (*_context.json) |
YAML (*.instincts.yaml) |
| Source | Manually authored | Distilled from sessions via /instill |
| Size | 200-1000 tokens | 20-80 tokens |
| Matching | Tool-pattern globs | Regex trigger patterns |
| Lifecycle | Static, versioned | Confidence-scored, evolves over time |
| Approval | None needed | Requires approved_by: human |
FAQ
Common questions
Discussion
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