@wildcard-ai/deepcontext - npm Package Compare versions

Comparing version 0.1.13 to 0.1.14

package.json

 {
   "name": "@wildcard-ai/deepcontext",
-  "version": "0.1.13",
+  "version": "0.1.14",
   "description": "Advanced codebase indexing and semantic search MCP server",
+  "mcpName": "ai.wild-card/deepcontext",
   "main": "dist/standalone-mcp-integration.js",
@@ -41,2 +42,3 @@ "type": "module",
   "devDependencies": {
+    "@jirutka/ajv-cli": "^6.0.0",
     "@types/node": "^20.0.0",
@@ -43,0 +45,0 @@ "tsx": "^4.11.0",

README.md

@@ -17,5 +17,2 @@ <p align="center">
   </a>
-  <a href="https://discord.gg/7VU6HKq7cZ">
-    <img src="https://img.shields.io/discord/1334616501436682405?style=flat&logo=discord&logoColor=white&label=discord&color=7289DA" alt="Discord">
-  </a>
   <a href="https://x.com/wildcard_ai">
@@ -26,16 +23,4 @@ <img src="https://img.shields.io/twitter/follow/wildcard_ai?style=social" alt="Twitter Follow">
 
-DeepContext is an MCP server that adds symbol-aware semantic search to Codex CLI, Claude Code, and other agents, giving them more precise context of even the largest codebases.
+DeepContext is an MCP server that adds symbol-aware semantic search to Codex CLI, Claude Code, and other agents, giving them more precise context of even the largest codebases. Currently supports Typescript and Python.
 
-## Why DeepContext MCP?
-
-Most coding agents use grep based search that match exact text, these searches miss semantically related code and fill context windows with irrelevant results. Large codebases amplify this problem, where text search returns hundreds of matches that quickly overwhelm conversation capacity.  This leads to slow completions, more hallucinations, and lower success rates.
-
-DeepContext provides agents with intelligent search that preserves context windows by finding only relevant code chunks.
-
-- **Semantic accuracy**: Matches code by meaning and relationships rather than text patterns, finding related functions across files that keyword search misses.
-
-- **Reduced token usage**: Returns precise code chunks instead of every file containing your search terms, preserving conversation context windows and reducing costs.
-
-- **Search speed**: Searches code immediately through pre-indexed data for instant file discovery.
-
 ## Quickstart
@@ -47,2 +32,3 @@
 4. Paste installation command for your MCP client
+5. Type `index this codebase` to index the current directory
 
@@ -65,2 +51,18 @@ **Claude Code:**
 
+## Demo
+https://github.com/user-attachments/assets/9a2d418f-497b-42b9-bbb2-f875ef0007b4
+
+
+## Why DeepContext MCP?
+
+Most coding agents use grep based search that match exact text, these searches miss semantically related code and fill context windows with irrelevant results. Large codebases amplify this problem, where text search returns hundreds of matches that quickly overwhelm conversation capacity.  This leads to slow completions, more hallucinations, and lower success rates.
+
+DeepContext provides agents with intelligent search that preserves context windows by finding only relevant code chunks.
+
+- **Semantic accuracy**: Matches code by meaning and relationships rather than text patterns, finding related functions across files that keyword search misses.
+
+- **Reduced token usage**: Returns precise code chunks instead of every file containing your search terms, preserving conversation context windows and reducing costs.
+
+- **Search speed**: Searches code immediately through pre-indexed data for instant file discovery.
+
 ## MCP Tools
@@ -67,0 +69,0 @@

New alerts

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Fixed alerts

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Improved metrics

Total package byte prevSize

602660

0.01%

Number of lines in readme file

152

1.33%

Worsened metrics

Dev dependency count

4

33.33%

No dependency changes