diff --git a/servers/local_intelligence_mcp/server.yaml b/servers/local_intelligence_mcp/server.yaml
new file mode 100644
index 00000000..7e6173c4
--- /dev/null
+++ b/servers/local_intelligence_mcp/server.yaml
@@ -0,0 +1,13 @@
+name: local_intelligence_mcp
+image: mcp/local_intelligence_mcp
+type: server
+meta:
+    category: ai
+    tags:
+        - ai
+about:
+    title: Local_intelligence_mcp
+    description: "A Swift-based, cross-platform Model Context Protocol (MCP) server that extends Apple’s on-device Intelligence features to local AI agents in a secure and privacy-preserving way.\n\nLocal Intelligence MCP provides text processing, summarization, and contextual analysis tools designed to augment Apple Intelligence capabilities within your own applications "
+    icon: https://avatars.githubusercontent.com/u/1335392?v=4
+source:
+    project: https://github.com/bretbouchard/Local_Intelligence_MCP
diff --git a/servers/local_intelligence_mcp/tools.json b/servers/local_intelligence_mcp/tools.json
new file mode 100644
index 00000000..15fd0e75
--- /dev/null
+++ b/servers/local_intelligence_mcp/tools.json
@@ -0,0 +1,202 @@
+[
+  {
+    "name": "text_normalize",
+    "description": "Clean and standardize text input by removing extra whitespace, normalizing punctuation, and applying consistent formatting rules",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to normalize and clean"
+      },
+      {
+        "name": "removeFillers",
+        "type": "boolean",
+        "desc": "Whether to remove filler words and unnecessary content"
+      },
+      {
+        "name": "standardizeFormat",
+        "type": "boolean",
+        "desc": "Whether to apply standard formatting rules"
+      }
+    ]
+  },
+  {
+    "name": "text_chunking",
+    "description": "Split large text documents into manageable chunks while preserving context and meaning boundaries",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to split into chunks"
+      },
+      {
+        "name": "maxChunkSize",
+        "type": "number",
+        "desc": "Maximum size of each chunk in characters"
+      },
+      {
+        "name": "overlap",
+        "type": "number",
+        "desc": "Number of characters to overlap between chunks"
+      }
+    ]
+  },
+  {
+    "name": "summarization",
+    "description": "Generate comprehensive summaries of text content with configurable style and length parameters",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to summarize"
+      },
+      {
+        "name": "style",
+        "type": "string",
+        "desc": "Summary style: executive, technical, brief, detailed"
+      },
+      {
+        "name": "maxLength",
+        "type": "number",
+        "desc": "Maximum length of the summary in words"
+      }
+    ]
+  },
+  {
+    "name": "pii_redaction",
+    "description": "Detect and redact personally identifiable information while preserving technical and domain-specific terminology",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to scan for PII"
+      },
+      {
+        "name": "policy",
+        "type": "string",
+        "desc": "Redaction policy: conservative, balanced, aggressive"
+      },
+      {
+        "name": "preserveAudioTerms",
+        "type": "boolean",
+        "desc": "Whether to preserve audio and technical terminology"
+      }
+    ]
+  },
+  {
+    "name": "focused_summarization",
+    "description": "Create targeted summaries focusing on specific aspects or topics within the content",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to analyze and summarize"
+      },
+      {
+        "name": "focus",
+        "type": "array",
+        "desc": "Array of focus areas: key_decisions, action_items, technical_details, etc."
+      },
+      {
+        "name": "analysisDepth",
+        "type": "string",
+        "desc": "Analysis depth: surface, standard, deep"
+      }
+    ]
+  },
+  {
+    "name": "content_purpose_detector",
+    "description": "Analyze and identify the purpose, intent, and context of text content with comprehensive categorization",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to analyze for purpose and intent"
+      },
+      {
+        "name": "context",
+        "type": "object",
+        "desc": "Additional context information including domain and analysis preferences"
+      }
+    ]
+  },
+  {
+    "name": "tag_generation",
+    "description": "Extract relevant keywords, topics, and metadata tags from text content with confidence scoring",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to analyze for tag generation"
+      },
+      {
+        "name": "maxTags",
+        "type": "number",
+        "desc": "Maximum number of tags to generate"
+      },
+      {
+        "name": "includeTechnical",
+        "type": "boolean",
+        "desc": "Whether to include technical terminology in tags"
+      }
+    ]
+  },
+  {
+    "name": "schema_extraction",
+    "description": "Extract and create structured data schemas from unstructured text content",
+    "arguments": [
+      {
+        "name": "text",
+        "type": "string",
+        "desc": "The text content to extract structured data from"
+      },
+      {
+        "name": "schemaType",
+        "type": "string",
+        "desc": "Type of schema to extract: person, event, product, technical_spec"
+      },
+      {
+        "name": "outputFormat",
+        "type": "string",
+        "desc": "Output format: json, yaml, xml"
+      }
+    ]
+  },
+  {
+    "name": "health_check",
+    "description": "Perform comprehensive health monitoring and system diagnostics with detailed status reporting",
+    "arguments": []
+  },
+  {
+    "name": "system_info",
+    "description": "Retrieve detailed system information including device capabilities, performance metrics, and configuration details",
+    "arguments": [
+      {
+        "name": "categories",
+        "type": "array",
+        "desc": "Information categories to retrieve: device, performance, network, capabilities"
+      },
+      {
+        "name": "includeSensitive",
+        "type": "boolean",
+        "desc": "Whether to include sensitive system information"
+      }
+    ]
+  },
+  {
+    "name": "capabilities_list",
+    "description": "List all available tools, capabilities, and system features with detailed descriptions and usage information",
+    "arguments": [
+      {
+        "name": "category",
+        "type": "string",
+        "desc": "Filter by capability category: text_processing, analysis, system, extraction"
+      },
+      {
+        "name": "includeExamples",
+        "type": "boolean",
+        "desc": "Whether to include usage examples for each capability"
+      }
+    ]
+  }
+]
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